WEBVTT - How Shazam and Midomi Work

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<v Speaker 1>Brought to you by the reinvented two thousand twelve camera.

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<v Speaker 1>It's ready. Are you get in touch with technologies? With

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<v Speaker 1>tech stuff from how stuff works dot com. You've heard

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<v Speaker 1>the rumors before, perhaps, and whispers written between the lines

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<v Speaker 1>of the textbooks. Conspiracies, paranormal events, all those things that

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<v Speaker 1>disappear from the official explanations. Tune in and learn more

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<v Speaker 1>of the stuff they don't want you to know in

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<v Speaker 1>this video podcast from how stuff works dot com. Hello, everybody,

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<v Speaker 1>welcomes to text stuff. My name is Chris Platt, and

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<v Speaker 1>I'm an editor here at how stuff works dot com,

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<v Speaker 1>sitting across from me as usual as senior writer Jonathan Strickland.

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<v Speaker 1>Hey there, do you think people can identify our voices

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<v Speaker 1>pretty easily? Well, I would imagine, so we don't sound

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<v Speaker 1>exactly alike or anything at all alike, really, I know,

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<v Speaker 1>But I mean, do you think people could listen to us,

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<v Speaker 1>people who have listened to the podcast before and say,

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<v Speaker 1>I know that's Jonathan and that's Chris. Possibly, although I

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<v Speaker 1>have heard at least one person claim after we did

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<v Speaker 1>a phone interview that I was the only person who

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<v Speaker 1>sounded the way I did on the podcast. But you

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<v Speaker 1>know what makes you look taller. You were sitting further

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<v Speaker 1>You were sitting further away from the phone, and it

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<v Speaker 1>was on speaker phone at the time, so that may

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<v Speaker 1>have played apart. But um, what we're getting to here

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<v Speaker 1>is kind of working our way slowly around to the

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<v Speaker 1>topic we're gonna discuss today. But that actually comes courtesy

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<v Speaker 1>of a little listener mail. This listener mail comes from

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<v Speaker 1>Mason in Iowa, and he says, Hey, there, love the podcast.

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<v Speaker 1>How about an episode on how Shazam and Medomi work?

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<v Speaker 1>How does the program segment compare against a database and

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<v Speaker 1>return result? It's so darn quickly, especially when I'm the

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<v Speaker 1>one doing the singing in Medomi's case. Well, Mason, first

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<v Speaker 1>of all, I should I should point out I would

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<v Speaker 1>be remiss if I did not point out that we

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<v Speaker 1>have a sister podcast called Stuff from the B Side,

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<v Speaker 1>and they actually did an episode about this kind of software. However,

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<v Speaker 1>we're gonna tackle it ourselves because we actually tend to

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<v Speaker 1>cover the same topics now and then we've we've done

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<v Speaker 1>both done the electric guitar, so I see no reason

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<v Speaker 1>for us not to uh tackle this one. Sure, and

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<v Speaker 1>there's uh you know, we can add a little stuff

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<v Speaker 1>that they didn't add. Sure, yeah, like puns that in

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<v Speaker 1>some updates about what's going on. Oh oh yeah, we

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<v Speaker 1>can do that too. So let's how about which one

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<v Speaker 1>do you us start with? Zam or Medomi? Um? Well,

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<v Speaker 1>she Zam has been around longer, that's true. She Zam

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<v Speaker 1>has been around since the early two thousands. Like two

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<v Speaker 1>thousand two was when it first the company first started.

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<v Speaker 1>In two thousand thirty was really when the service started

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<v Speaker 1>to get some attention. Actually I had it down as

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<v Speaker 1>sam starting in two thousand really wow, okay, so I

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<v Speaker 1>stand corrected. Yeah, the the earliest version of Shazam was

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<v Speaker 1>an interesting version. You would you would hold your cell

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<v Speaker 1>phone up to the source of music and you would

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<v Speaker 1>uh send that to the Shazam service, and you would

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<v Speaker 1>get a text message back identifying the song. And I

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<v Speaker 1>can see why this could be considered like some sort

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<v Speaker 1>of weird magic. I mean, how could a service figure

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<v Speaker 1>that out so quickly because it was usually just a

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<v Speaker 1>matter of a few seconds between when you sent the

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<v Speaker 1>the music and when or when you held the phone

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<v Speaker 1>up to the music source and when you got the reply.

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<v Speaker 1>Oh it's magic, you know, right. Uh, you have to

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<v Speaker 1>believe we are magic. We can do this. You appreciate

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<v Speaker 1>that you do in the Zany reference, well, yeah, you're welcome.

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<v Speaker 1>I was gonna go with Loving Spoonful, but even I think, Sanna,

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<v Speaker 1>do we already lost everybody Loving Spoonful? I don't. There's

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<v Speaker 1>probably three of you out there who even know who

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<v Speaker 1>that is. So but yeah, I think you're right. And

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<v Speaker 1>it's um stuff like this and in voice recognition. I

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<v Speaker 1>think it's one of those things that just sort of

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<v Speaker 1>surprises people because you don't think that the computer has

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<v Speaker 1>enough I don't know intelligence to figure it out. Wait,

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<v Speaker 1>wait a minute, that's a machine, and the machine figure

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<v Speaker 1>out what I was doing there. Let's talk about how

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<v Speaker 1>Shazam does this. Now, what Shazam does It breaks down

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<v Speaker 1>any recording into um, just some very simple data. They

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<v Speaker 1>call it fingerprinting. They fingerprints songs. And if you were

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<v Speaker 1>to if you were to try and if you were

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<v Speaker 1>to try and and and chart out a song from

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<v Speaker 1>start to finish with all the different elements that go

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<v Speaker 1>into that, like you know, you're you're essentially assigning data

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<v Speaker 1>points to every single frequency in that song, you would

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<v Speaker 1>end up with a fairly substantial amount of data yeah,

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<v Speaker 1>and Shazam has something like one point seven one point

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<v Speaker 1>eight million songs in the database, probably even more than

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<v Speaker 1>that now because that was the most recent data I

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<v Speaker 1>saw too, but I think that data was yeah. Yeah.

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<v Speaker 1>So what sasam does is they take the peaks and

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<v Speaker 1>the troughs, the highest points in the frequency and the

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<v Speaker 1>lowest points of the frequency to map out patterns and

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<v Speaker 1>the fingerprint songs in that way. So they're cutting out

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<v Speaker 1>a lot of the information in the middle and uh.

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<v Speaker 1>That actually saves lots of space. It also saves time

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<v Speaker 1>when you're trying to match one song or or one

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<v Speaker 1>clip to a database full of songs. So when you

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<v Speaker 1>hold your phone up to a SEV speakers or uh,

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<v Speaker 1>you know whatever whatever is making the music, um, it

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<v Speaker 1>starts to uh. It sends that clip to the Shazam service,

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<v Speaker 1>which then immediately analyzes it and looks at those peaks

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<v Speaker 1>and troughs and tries to find a match in the database. Now,

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<v Speaker 1>the reason why it's so fast is it Shazam keeps

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<v Speaker 1>all of this in the computer's memory. It's not stored

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<v Speaker 1>on a hard drive. The the database doesn't have to

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<v Speaker 1>you know, the process sucsessor doesn't have to search the

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<v Speaker 1>hard drive to find a match. Everything's in memory, which

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<v Speaker 1>means they have to have lots and lots of machines

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<v Speaker 1>to uh to be able to hold all those songs

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<v Speaker 1>within computer memory, or at least the fingerprints of those songs.

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<v Speaker 1>And so once it finds a match, it then sends

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<v Speaker 1>that data back to you, and usually it's it's fairly accurate.

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<v Speaker 1>It's especially accurate for more modern music, the stuff that's

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<v Speaker 1>been out for the last couple of years. Um, if

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<v Speaker 1>you start going back further, you may start encountering songs

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<v Speaker 1>that just aren't not in the database, and so you

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<v Speaker 1>won't get a legitimate match. And there are cases where

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<v Speaker 1>if you have a song that is very similar to

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<v Speaker 1>another song, it may come back with an incorrect match.

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<v Speaker 1>But that doesn't happen that often. I suppose if you

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<v Speaker 1>were to, you know, try and identify a Creed or

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<v Speaker 1>Nickelback song, it would might come back wrong because all

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<v Speaker 1>those damn songs sound the same to me. I mean, seriously, kids,

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<v Speaker 1>find some better music, all right, So get off his lawn, Yes,

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<v Speaker 1>get off my lawn. While I listened to, you know,

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<v Speaker 1>music that they made in the good old days, like

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<v Speaker 1>the late nineteen seventies in London. Um, like the sex pistols.

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<v Speaker 1>So not that not that modern stuff that's just junk

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<v Speaker 1>as an email to anyway, there's there are they're actually

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<v Speaker 1>papers online. They go into very great to tail about

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<v Speaker 1>the algorithms that they that Shazam uses to identify to

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<v Speaker 1>match up songs and and to send the data back

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<v Speaker 1>to you. Yeah, they go into quite a bit of

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<v Speaker 1>depth and as our actually as our sister podcast pointing out,

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<v Speaker 1>as uh John and Mark talked about, they used a

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<v Speaker 1>three dimensional graph to do this. Yeah, it's kind of cool. Yeah,

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<v Speaker 1>it's called a uh, well you can call it a

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<v Speaker 1>couple different things of time frequency graph where a spectrogram, um, sorry,

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<v Speaker 1>spectrogram and uh, basically it's a it's three dimensional and

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<v Speaker 1>that it goes it shows you over time how the

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<v Speaker 1>you know, theeks and valleys of the song frequencies change, um.

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<v Speaker 1>And that's kind of interesting that that it can that

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<v Speaker 1>it's able to do that in the first place. But

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<v Speaker 1>that's how it's you know, that's how it's looking at it,

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<v Speaker 1>and that's having the element of time in there is

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<v Speaker 1>crucial because otherwise, um, you know, wouldn't be able to

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<v Speaker 1>uh look at that Yeah. The the cool thing about

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<v Speaker 1>this services that you can hold your phone up to

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<v Speaker 1>any point of the song and and as long as

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<v Speaker 1>you're able to get about fifteen seconds worth of of

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<v Speaker 1>of content, then that's enough for sam to work with

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<v Speaker 1>to find a match. So it doesn't have to be

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<v Speaker 1>the beginning of the song, it doesn't have to be

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<v Speaker 1>the end. It can be at any point, and as

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<v Speaker 1>long as it is able to map out those troughs

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<v Speaker 1>and valleys accurately, then you should be able to get

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<v Speaker 1>a pretty good result. There are some things that can

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<v Speaker 1>cause some problems besides the fact that some songs do

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<v Speaker 1>sound alike. I mean that I was kind of making

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<v Speaker 1>a joke there, but that could happen if you had

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<v Speaker 1>if you're holding up a phone to a part where

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<v Speaker 1>there was it was sampling another song and it was

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<v Speaker 1>long enough, you could conceivably get the wrong result. But

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<v Speaker 1>also if there's ambient sound that's interfering in the area,

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<v Speaker 1>you may not be able to get a result because

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<v Speaker 1>you know, it can't identify the song because it's getting

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<v Speaker 1>all these other sound inputs that are mixing it up. Yeah,

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<v Speaker 1>I mean that's one of the things they sort of advertise.

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<v Speaker 1>Wishes am is that you could take your phone around

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<v Speaker 1>the mall, for example, or you know, on the radio

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<v Speaker 1>in your car, um and hold it up to the

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<v Speaker 1>speaker and it'll tell you what song that is. Well,

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<v Speaker 1>I mean, if you're at the mall, you're dealing with

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<v Speaker 1>all those people at the mall, You're dealing with perhaps

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<v Speaker 1>conflicting songs coming from different places. We're acoustics, the distance

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<v Speaker 1>from you to the speaker. I mean, there are all

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<v Speaker 1>kinds of things can interfere with that. Not to mention

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<v Speaker 1>your cell phone frequence frequency, you know, cutting out suddenly

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<v Speaker 1>you're yes, so I've uh yeah, I thankfully there was

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<v Speaker 1>a visual queue there. You guys don't get to see

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<v Speaker 1>because this is an audio podcast. Brows did go up

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<v Speaker 1>about a foot. That was nice. I was like, I know,

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<v Speaker 1>I'm not supposed to talk now. Um No, I've used

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<v Speaker 1>this this application several times and uh and I have.

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<v Speaker 1>I've had varying degrees of success. There's a a theater

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<v Speaker 1>I go to on a fairly regular basis at a

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<v Speaker 1>stage play theater, not a cinema theata. I got to

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<v Speaker 1>the Theatah fairly regularly actually, and they have some They

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<v Speaker 1>have a pretty cool mix of of pre show and

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<v Speaker 1>post show music that they play on the sound system,

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<v Speaker 1>And there have been a couple of times where there's

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<v Speaker 1>been songs that I played that I just I didn't recognize,

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<v Speaker 1>and Shazam is pretty good at identifying those. The hard

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<v Speaker 1>part is being able to get a long enough section

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<v Speaker 1>where people aren't talking loud so loudly that it's interfering

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<v Speaker 1>with the sample, right, So there have been times where

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<v Speaker 1>I've stood next to the speaker and held my phone

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<v Speaker 1>up to it. But now there's problems with that too,

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<v Speaker 1>because if the volume is too loud, then you get

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<v Speaker 1>some distortion and then it doesn't really work in that

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<v Speaker 1>way either. But also there's this incredibly obscure Japanese song

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<v Speaker 1>that they play that Shasam just doesn't seem to recognize.

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<v Speaker 1>So I'm gonna have to break down and ask someone

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<v Speaker 1>at the theater what the heck it is. Yeah, and

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<v Speaker 1>then there's the the other factor, you know, the part

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<v Speaker 1>where you're standing there holding your cell phone up to

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<v Speaker 1>a speaker and people are starting to wonder what the

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<v Speaker 1>heck you're doing. But I mean, if I start worrying

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<v Speaker 1>about what people think of me, now, I mean, come on,

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<v Speaker 1>I've made it this far, why should I worry now?

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<v Speaker 1>So let's let's kind of shift over a little bit

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<v Speaker 1>and talk about Medomi, which is a little different from Shasanna.

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<v Speaker 1>There's actually a few interesting uh and and fairly major differences,

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<v Speaker 1>one of which is that the database that that Medomi

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<v Speaker 1>uses is not it's not collected by the company necessarily,

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<v Speaker 1>it's user jim rated. Users of Medomi have sung songs

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<v Speaker 1>or hummed songs or whistled songs into their phones and identified,

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<v Speaker 1>you know, tagged the file as being a certain song,

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<v Speaker 1>and the user community tends to comment on these, vote

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<v Speaker 1>him up or down? Uh, submit their own version. Yeah, yeah,

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<v Speaker 1>what are you kidding? That doesn't sound like that. Yeah,

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<v Speaker 1>here's my version, because god lord, the one that's in

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<v Speaker 1>the database is terrible. And you could you could sing

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<v Speaker 1>your own version and upload it to medomie and then

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<v Speaker 1>people can vote on which one is the more representative

0:12:35.800 --> 0:12:40.160
<v Speaker 1>version of the song. The wiki model, right, and the

0:12:40.200 --> 0:12:43.320
<v Speaker 1>idea behind Medomi is that, you know, with Shazam, you

0:12:43.360 --> 0:12:46.199
<v Speaker 1>really need the original source or you need you need

0:12:46.240 --> 0:12:49.520
<v Speaker 1>to be able to hold the phone up to something

0:12:49.520 --> 0:12:53.239
<v Speaker 1>that's playing the actual song. You can't necessarily sing it yourself,

0:12:53.800 --> 0:12:56.240
<v Speaker 1>or even if there's a band playing it live. That

0:12:56.280 --> 0:12:58.360
<v Speaker 1>doesn't necessarily mean it's going to be able to identify

0:12:58.440 --> 0:13:02.240
<v Speaker 1>the song because it's looking for a specific pattern, and

0:13:02.320 --> 0:13:04.679
<v Speaker 1>depending on the way you sing it or the way

0:13:04.720 --> 0:13:07.640
<v Speaker 1>the band sings it or whatever, it may not match

0:13:07.760 --> 0:13:10.600
<v Speaker 1>up to anything in their database, even though the song

0:13:10.679 --> 0:13:15.160
<v Speaker 1>itself maybe in the database. Because of this fingerprint technology,

0:13:15.200 --> 0:13:17.520
<v Speaker 1>Madomi is different. You know, it may be able to

0:13:18.120 --> 0:13:21.720
<v Speaker 1>track your the way you sing the song and find

0:13:21.720 --> 0:13:26.600
<v Speaker 1>a match within its user generated database. Now, the way

0:13:26.720 --> 0:13:30.319
<v Speaker 1>Medomi explains that the how this works is a little

0:13:30.480 --> 0:13:35.520
<v Speaker 1>um vague, I guess you could say, I'd say, okay,

0:13:35.559 --> 0:13:39.800
<v Speaker 1>So in general, what happens is you submit the song

0:13:39.920 --> 0:13:44.160
<v Speaker 1>and whatever format that you've chosen, whether it's whistling, singing, humming, whatever.

0:13:45.440 --> 0:13:50.080
<v Speaker 1>The software they use converts this into a special length

0:13:50.120 --> 0:13:54.000
<v Speaker 1>computer language they call Crystal language. Um, it's actually computer

0:13:54.040 --> 0:13:56.160
<v Speaker 1>language is probably the wrong term, but it's their own

0:13:56.200 --> 0:14:01.000
<v Speaker 1>proprietary format format exactly. And so then it looks into

0:14:01.040 --> 0:14:03.760
<v Speaker 1>the database and sees if there are any files that

0:14:03.840 --> 0:14:08.240
<v Speaker 1>have a similar, uh similar style to what you just

0:14:08.320 --> 0:14:11.240
<v Speaker 1>sang or hummed or whistled or whatever, and then it

0:14:11.559 --> 0:14:16.400
<v Speaker 1>gives you a selection of songs that most likely are

0:14:16.440 --> 0:14:19.360
<v Speaker 1>going to fit what you sang. I say most likely

0:14:19.440 --> 0:14:24.400
<v Speaker 1>because um, it's this. Yes, I've actually played with Medomie.

0:14:24.400 --> 0:14:27.360
<v Speaker 1>Now I don't as far as I know, Medomi doesn't

0:14:27.400 --> 0:14:30.600
<v Speaker 1>have an Android application. They may have it now, but

0:14:30.720 --> 0:14:32.320
<v Speaker 1>at the time when I first heard of it, they

0:14:32.360 --> 0:14:34.360
<v Speaker 1>did not have an Android application, so I don't have

0:14:34.400 --> 0:14:37.480
<v Speaker 1>it on my phone. But you can use the service

0:14:37.600 --> 0:14:39.640
<v Speaker 1>on the web. You can use it with a computer,

0:14:39.720 --> 0:14:42.200
<v Speaker 1>so as long as your computer has a microphone, you

0:14:42.240 --> 0:14:44.760
<v Speaker 1>can give it a try. And I decided to do this,

0:14:45.440 --> 0:14:47.720
<v Speaker 1>and the first couple of songs I tried it was

0:14:48.000 --> 0:14:51.520
<v Speaker 1>surprisingly very accurate. You know, I am not a good singer,

0:14:51.720 --> 0:14:54.800
<v Speaker 1>as I'm sure many of you can imagine, my singing

0:14:54.800 --> 0:14:59.280
<v Speaker 1>ability is is very poor. Um. I can do character

0:14:59.440 --> 0:15:04.440
<v Speaker 1>voices for certain musicals and that's it. But I decided

0:15:04.440 --> 0:15:06.120
<v Speaker 1>to give it a shot, and the first couple of

0:15:06.120 --> 0:15:09.600
<v Speaker 1>songs I tried came out pretty accurate. I think the

0:15:09.600 --> 0:15:13.680
<v Speaker 1>first one I did was uh, Sedated by the Ramans

0:15:14.360 --> 0:15:16.480
<v Speaker 1>and I want to be Sedated, and it came came

0:15:16.480 --> 0:15:20.760
<v Speaker 1>back right away. But the more I tried, the more

0:15:20.880 --> 0:15:25.640
<v Speaker 1>I was encountering um anomalies, or maybe maybe the correct

0:15:25.640 --> 0:15:28.200
<v Speaker 1>one was the anomaly for me. But I was having

0:15:28.320 --> 0:15:30.720
<v Speaker 1>issues where I would sing something and I would get

0:15:30.760 --> 0:15:33.600
<v Speaker 1>a result that was totally not what I was singing.

0:15:33.760 --> 0:15:37.280
<v Speaker 1>The most egregious of these would be Blue Oyster Cults

0:15:37.760 --> 0:15:42.680
<v Speaker 1>classic hit Don't Fear the Reaper. Uh My version, apparently

0:15:42.720 --> 0:15:47.240
<v Speaker 1>to Medomi, sounds an awful lot like the girl from Ipanema.

0:15:48.080 --> 0:15:53.160
<v Speaker 1>There wasn't nearly enough cow bell. No. I clearly was

0:15:53.480 --> 0:15:57.400
<v Speaker 1>lacking the cowbell, and therefore Medomi was unable to understand

0:15:57.440 --> 0:16:00.720
<v Speaker 1>what it was. But uh so, but if I had

0:16:01.080 --> 0:16:03.480
<v Speaker 1>think of it this way, if I had recorded Don't

0:16:03.520 --> 0:16:06.680
<v Speaker 1>Fear the Reaper and submitted it to Medomi and then

0:16:06.800 --> 0:16:09.560
<v Speaker 1>tried to do it again, it would have identified my

0:16:09.760 --> 0:16:12.520
<v Speaker 1>version of Don't Fear the Reaper as being correct. There

0:16:12.520 --> 0:16:15.560
<v Speaker 1>you go, so that that's not, you know, difficult at all,

0:16:15.840 --> 0:16:18.800
<v Speaker 1>just because they accord all your own songs, so that

0:16:18.840 --> 0:16:20.360
<v Speaker 1>you can go and go, oh, what's the name of

0:16:20.360 --> 0:16:23.200
<v Speaker 1>that song that I always yeah, exactly, Well, that that

0:16:23.200 --> 0:16:27.160
<v Speaker 1>would more It would mostly be to impress or distress

0:16:27.280 --> 0:16:29.920
<v Speaker 1>your friends, because you could sing a song that sounds

0:16:30.000 --> 0:16:32.280
<v Speaker 1>nothing like the original, but it would come back and

0:16:32.320 --> 0:16:34.640
<v Speaker 1>know what it was you were singing, because you were

0:16:34.680 --> 0:16:37.080
<v Speaker 1>the one who provided the template for that song. Do

0:16:37.200 --> 0:16:40.760
<v Speaker 1>you see that that seems problematic for me? Well, because

0:16:40.800 --> 0:16:43.840
<v Speaker 1>it seems like you could intentionally go in and sing

0:16:43.880 --> 0:16:46.600
<v Speaker 1>a whole bunch of stuff and tag it and just

0:16:46.680 --> 0:16:49.320
<v Speaker 1>drive people nuts. Well that's that's why you know, it's

0:16:49.360 --> 0:16:53.920
<v Speaker 1>it's user user police, so you have to it's one

0:16:53.960 --> 0:16:57.600
<v Speaker 1>of those services that depends heavily upon the community of users.

0:16:58.000 --> 0:17:02.160
<v Speaker 1>If the community is being very uh you know, honest

0:17:02.360 --> 0:17:07.280
<v Speaker 1>and forthright, then they are going to police the different

0:17:07.440 --> 0:17:10.400
<v Speaker 1>submissions and make sure that only the ones that actually

0:17:10.840 --> 0:17:14.640
<v Speaker 1>and accurately represent the songs are the ones that make

0:17:14.680 --> 0:17:18.920
<v Speaker 1>it into the database. Otherwise, uh, you know, they essentially say, well,

0:17:19.240 --> 0:17:21.399
<v Speaker 1>this is someone who's just goofing around and trying to

0:17:21.440 --> 0:17:26.000
<v Speaker 1>cause problems, and they'll they'll nix it, right. So, um,

0:17:26.040 --> 0:17:29.080
<v Speaker 1>but yeah, I mean, anytime there's a user, anytime there's

0:17:29.080 --> 0:17:32.040
<v Speaker 1>a service that depends upon the community of users to

0:17:32.040 --> 0:17:35.000
<v Speaker 1>to keep it going, it makes me a little nervous

0:17:35.080 --> 0:17:37.240
<v Speaker 1>because you know, you never know when a group of

0:17:37.240 --> 0:17:40.680
<v Speaker 1>people is just gonna get a little capricious and decide

0:17:40.720 --> 0:17:43.439
<v Speaker 1>that you know, they that every song needs to be

0:17:43.520 --> 0:17:45.520
<v Speaker 1>sung to the tune of the Yellow Rose in Texas

0:17:46.760 --> 0:17:52.479
<v Speaker 1>and why not. Yeah. So, uh as for the new information, well,

0:17:52.520 --> 0:17:56.080
<v Speaker 1>I mean I didn't know if we were. That's pretty

0:17:56.160 --> 0:18:00.320
<v Speaker 1>much the way that those and again it's it's referring

0:18:00.359 --> 0:18:04.920
<v Speaker 1>to a database. It's sending you the results pretty quickly. Um.

0:18:04.960 --> 0:18:08.359
<v Speaker 1>But they they don't Madonie doesn't share as much of

0:18:08.400 --> 0:18:12.520
<v Speaker 1>it's it's uh back end operations as Shazam does, so

0:18:12.600 --> 0:18:15.639
<v Speaker 1>we can't for sure. Men say that they use the

0:18:15.680 --> 0:18:18.119
<v Speaker 1>same sort of setup where they you know, everything stored

0:18:18.160 --> 0:18:20.680
<v Speaker 1>in memory as opposed to hard drive space or whatever.

0:18:21.280 --> 0:18:24.399
<v Speaker 1>We just don't know because we aren't privy to that information.

0:18:24.920 --> 0:18:27.639
<v Speaker 1>But um, yeah, that's that's all I have on just

0:18:27.720 --> 0:18:32.480
<v Speaker 1>the basic operations. So what's this new info you've well, um,

0:18:32.520 --> 0:18:37.000
<v Speaker 1>you know, in in in general, Jasam basically offers the

0:18:37.040 --> 0:18:42.520
<v Speaker 1>application for free for you know, iPhones and Nokia phones. Um.

0:18:42.720 --> 0:18:47.040
<v Speaker 1>But actually, in the as of the ninth don't know,

0:18:47.440 --> 0:18:50.840
<v Speaker 1>late middle part of October two thousand nine when we're

0:18:50.840 --> 0:18:53.800
<v Speaker 1>recording this, um Chasm actually just got a new round

0:18:53.800 --> 0:18:56.840
<v Speaker 1>of funding from Kleiner Perkins, call Field and Buyers. They

0:18:56.840 --> 0:19:03.119
<v Speaker 1>actually have their own iPhone Apple Cation fund called the

0:19:03.160 --> 0:19:05.720
<v Speaker 1>I fund this hundred million dollars and uh, you know

0:19:05.760 --> 0:19:09.639
<v Speaker 1>it's specifically geared towards iPhone developers. Well, Shasam got some

0:19:09.680 --> 0:19:12.280
<v Speaker 1>of that money, and there, um they're going to continue

0:19:12.320 --> 0:19:16.120
<v Speaker 1>to offer their services for free for a while. Uh. Well,

0:19:16.119 --> 0:19:18.840
<v Speaker 1>they actually charge for the BlackBerry version, but the iPhone

0:19:18.920 --> 0:19:21.680
<v Speaker 1>and Nokia Phones version. I don't think they charge for Android,

0:19:21.720 --> 0:19:24.119
<v Speaker 1>or if they have, I am totally unaware of it

0:19:24.480 --> 0:19:27.040
<v Speaker 1>because I have Shazam for the Android phone and and

0:19:27.720 --> 0:19:30.360
<v Speaker 1>if they're charging me for it, I need to pay

0:19:30.400 --> 0:19:32.480
<v Speaker 1>better attention to my bills. Well, you need to pay

0:19:32.520 --> 0:19:34.080
<v Speaker 1>attention to your bills by the end of the year

0:19:34.160 --> 0:19:37.360
<v Speaker 1>in two thousand nine, because um, there you will start

0:19:37.400 --> 0:19:40.320
<v Speaker 1>to get five free song identifications a month, and then

0:19:40.480 --> 0:19:43.440
<v Speaker 1>four nine a month after that if you want unlimited

0:19:43.480 --> 0:19:46.160
<v Speaker 1>usage and all the extra goodies. And they're talking about

0:19:46.160 --> 0:19:50.480
<v Speaker 1>selling application or i'm sorry, selling items, uh you know

0:19:50.520 --> 0:19:53.600
<v Speaker 1>as part of the application to like you know, banned

0:19:53.680 --> 0:19:58.120
<v Speaker 1>gear and you know, possibly selling video. I'm pretty sure

0:19:59.200 --> 0:20:01.879
<v Speaker 1>you know what. I can't be certain now, but I could.

0:20:02.560 --> 0:20:06.320
<v Speaker 1>I seem to recall the last time that Sasam correctly

0:20:06.359 --> 0:20:08.400
<v Speaker 1>identified a song for me. It gave me a link

0:20:08.440 --> 0:20:13.240
<v Speaker 1>to where I could purchase the album on Amazon. But

0:20:13.280 --> 0:20:15.639
<v Speaker 1>maybe maybe I've got that mistaken now because it has

0:20:15.680 --> 0:20:17.240
<v Speaker 1>been a while since I've used it and had it

0:20:17.320 --> 0:20:21.080
<v Speaker 1>actually work. Because it turns out that most music that

0:20:21.119 --> 0:20:24.840
<v Speaker 1>I really like, I already know what the song is. Yeah,

0:20:24.920 --> 0:20:27.879
<v Speaker 1>it's just the really really obscure stuff that tends to

0:20:28.080 --> 0:20:30.560
<v Speaker 1>like I'm like, wow, that's so cool. I've never heard

0:20:30.600 --> 0:20:34.119
<v Speaker 1>that before, and apparently neither has Shazam, so I haven't

0:20:34.160 --> 0:20:36.760
<v Speaker 1>had much call to use it recently. I don't have

0:20:36.800 --> 0:20:38.920
<v Speaker 1>a Nokia phone, and I don't have an iPhone or

0:20:38.960 --> 0:20:41.359
<v Speaker 1>an Android or BlackBerry um, but I do have the

0:20:41.400 --> 0:20:44.480
<v Speaker 1>iPod and I could download Susanne. But I have the

0:20:44.560 --> 0:20:48.360
<v Speaker 1>first generation iPod Touch, and so I could stand there

0:20:48.359 --> 0:20:52.000
<v Speaker 1>all day holding up my microphone lists iPod Touch up,

0:20:52.000 --> 0:20:55.960
<v Speaker 1>and She'sam's just gonna go anytime? You just just I'll

0:20:56.000 --> 0:21:00.440
<v Speaker 1>be waiting. Actually, I could use a microphone that ugs in,

0:21:00.560 --> 0:21:04.320
<v Speaker 1>but you know that costs money, right, and then you

0:21:03.840 --> 0:21:06.920
<v Speaker 1>don't and you have to carry around an extra pace

0:21:07.000 --> 0:21:09.200
<v Speaker 1>of gear and you have to be someplace where there's

0:21:09.240 --> 0:21:12.320
<v Speaker 1>WiFi for you to be able to actually indeed, you

0:21:12.320 --> 0:21:16.280
<v Speaker 1>know that could be problematic that's a lot of qualifiers

0:21:16.320 --> 0:21:18.600
<v Speaker 1>for a single application. So maybe I'll invest in a

0:21:18.640 --> 0:21:22.040
<v Speaker 1>smartphone eventually. Yeah, that would um, that would be my recommendation.

0:21:22.200 --> 0:21:25.280
<v Speaker 1>You know, there's a there's this awesome new phone called

0:21:25.280 --> 0:21:29.479
<v Speaker 1>the Motorola Droid. Have you heard about it? I do

0:21:29.560 --> 0:21:33.679
<v Speaker 1>think I have. It's kind of hard not to, um

0:21:33.720 --> 0:21:36.439
<v Speaker 1>so at any rate. Yeah, that's that's interesting stuff. Uh,

0:21:36.960 --> 0:21:40.120
<v Speaker 1>I mean, I think these these services are really cool ideas,

0:21:41.320 --> 0:21:43.280
<v Speaker 1>especially for people who happen to be out and about

0:21:43.320 --> 0:21:44.679
<v Speaker 1>a lot and they hear a lot of you know,

0:21:44.800 --> 0:21:47.919
<v Speaker 1>encountering a lot of new music. Um. It's it's a

0:21:48.000 --> 0:21:52.320
<v Speaker 1>really interesting way to to to educate yourself about stuff

0:21:52.359 --> 0:21:54.600
<v Speaker 1>that you like that you know, you you encounter, but

0:21:54.640 --> 0:21:59.080
<v Speaker 1>you don't necessarily you're not really familiar with it. Um.

0:21:59.119 --> 0:22:00.760
<v Speaker 1>I mean, there are a lot of other options to Like,

0:22:00.800 --> 0:22:03.480
<v Speaker 1>there are a lot of like HD radio stations which

0:22:03.480 --> 0:22:06.280
<v Speaker 1>will identify the song that you are listening to. And

0:22:06.320 --> 0:22:09.720
<v Speaker 1>there's some HD radio applications where you can even get

0:22:09.760 --> 0:22:12.880
<v Speaker 1>access to buying the song off of something like Amazon

0:22:12.960 --> 0:22:16.960
<v Speaker 1>or iTunes. So uh yeah. Of course satellite radio also

0:22:17.200 --> 0:22:20.440
<v Speaker 1>identify as those and um, you know there are other

0:22:21.280 --> 0:22:23.919
<v Speaker 1>and this really isn't all that especially new. You know,

0:22:24.040 --> 0:22:27.440
<v Speaker 1>Grace Note alias c d dB, you know, has been

0:22:27.480 --> 0:22:32.480
<v Speaker 1>identifying songs mathematically, uh, you know, based on identification numbers,

0:22:32.480 --> 0:22:34.159
<v Speaker 1>and at least, you know, it's a little bit different

0:22:34.160 --> 0:22:37.760
<v Speaker 1>from the way that Shazam and Medomi do. And then

0:22:37.800 --> 0:22:40.520
<v Speaker 1>there's my buddy John, who seems to know every song

0:22:40.600 --> 0:22:43.159
<v Speaker 1>ever recorded. So I'll be like, hey, John, what's that

0:22:43.240 --> 0:22:46.200
<v Speaker 1>song that goes has He'll be like, oh, that's such

0:22:46.240 --> 0:22:48.760
<v Speaker 1>and such by the so and so's and so. Yeah.

0:22:48.800 --> 0:22:51.960
<v Speaker 1>If you if you don't have access to Shazam or Medomi,

0:22:52.119 --> 0:22:54.959
<v Speaker 1>you should totally call my buddy John because he probably

0:22:54.960 --> 0:22:58.600
<v Speaker 1>knows a song. Yeah, you know. And I bet that somewhere, uh,

0:22:58.760 --> 0:23:01.760
<v Speaker 1>in our brains there is a mathematical algorithm going on

0:23:01.960 --> 0:23:05.960
<v Speaker 1>to converts those bits of information you have to be

0:23:06.000 --> 0:23:08.520
<v Speaker 1>able to recognize something. Well, yeah, you think about the

0:23:08.520 --> 0:23:12.040
<v Speaker 1>brain is pretty remarkable because you can recognize a song

0:23:12.160 --> 0:23:14.359
<v Speaker 1>even if someone is mangling it. Yeah, you know, it

0:23:14.400 --> 0:23:17.480
<v Speaker 1>doesn't you may not sound anything like the original song,

0:23:17.600 --> 0:23:20.879
<v Speaker 1>but because we're able to recognize that, we can say, hey,

0:23:21.160 --> 0:23:23.520
<v Speaker 1>that song is as you know, such and such like,

0:23:24.119 --> 0:23:26.359
<v Speaker 1>or you can always do my favorite thing, which is Hey,

0:23:26.400 --> 0:23:28.680
<v Speaker 1>who sings that song? Oh that would be the Beatles. Yeah,

0:23:28.840 --> 0:23:33.199
<v Speaker 1>let them do it if nice. Um no, I'm a

0:23:33.320 --> 0:23:37.720
<v Speaker 1>I'm a kind guy. But yeah, I mean, you know,

0:23:37.760 --> 0:23:42.960
<v Speaker 1>they say that kids who play a musical instrument are

0:23:43.160 --> 0:23:45.119
<v Speaker 1>a little better at math. You know, it's sort of

0:23:45.160 --> 0:23:48.040
<v Speaker 1>there's a connection between the two. So I don't know,

0:23:48.080 --> 0:23:52.200
<v Speaker 1>maybe there's a thing. I'm I'm a pretty mean hand

0:23:52.200 --> 0:23:56.480
<v Speaker 1>with the slide whistle on and not no, not with

0:23:56.520 --> 0:24:01.199
<v Speaker 1>the slide rule, lack at ish sh mac and you do.

0:24:01.560 --> 0:24:03.800
<v Speaker 1>Oh there you go. See those are the kinds of

0:24:03.880 --> 0:24:06.560
<v Speaker 1>lame jokes that we bring. That's what we bring to

0:24:06.600 --> 0:24:08.240
<v Speaker 1>the table that you just aren't going to get from

0:24:08.240 --> 0:24:10.080
<v Speaker 1>stuff from the B sides. Yeah, you will get some

0:24:10.280 --> 0:24:13.359
<v Speaker 1>very valuable information about music from stuff on the B

0:24:13.440 --> 0:24:18.160
<v Speaker 1>sides and instruments, you won't get really horrible jokes. So

0:24:18.960 --> 0:24:22.040
<v Speaker 1>thank them for that. Yeah, yeah, definitely, Um so yeah

0:24:22.080 --> 0:24:24.239
<v Speaker 1>they If you want to learn more about it, I

0:24:24.280 --> 0:24:27.000
<v Speaker 1>do recommend listening to that podcast. It's you know, you'll

0:24:27.040 --> 0:24:28.679
<v Speaker 1>have to dig back in the archives a little bit

0:24:28.720 --> 0:24:32.680
<v Speaker 1>to fink it's from February. Yeah, it's been quite a bit,

0:24:32.720 --> 0:24:35.840
<v Speaker 1>but shorter podcasts and yeah, that was a group that

0:24:35.920 --> 0:24:40.000
<v Speaker 1>was back when we would we would or ten minute podcasts. Yeah,

0:24:40.280 --> 0:24:42.520
<v Speaker 1>but um, yeah, if you want to learn more about it,

0:24:42.600 --> 0:24:45.320
<v Speaker 1>I would recommend listening to that podcast, and if you

0:24:45.359 --> 0:24:47.720
<v Speaker 1>haven't already, you should subscribe to it because it's a

0:24:47.760 --> 0:24:51.920
<v Speaker 1>good show. Yeah, definitely. So they also covered some some

0:24:52.040 --> 0:24:56.399
<v Speaker 1>great classical music, um topics that I had never really

0:24:56.560 --> 0:24:59.000
<v Speaker 1>explored before. So I learned quite a bit from that show,

0:24:59.320 --> 0:25:03.879
<v Speaker 1>like classical, like in all the way back to the sixties. Yeah,

0:25:04.160 --> 0:25:10.040
<v Speaker 1>the seventeen sixties. Snap, all right, so let's let's let's

0:25:10.040 --> 0:25:12.840
<v Speaker 1>find this. Let's find this down a little bit. Let's

0:25:12.880 --> 0:25:15.560
<v Speaker 1>take this down on notch. Let's let's end with a

0:25:15.560 --> 0:25:22.720
<v Speaker 1>little listener mail is listener mail comes from my good

0:25:22.720 --> 0:25:25.960
<v Speaker 1>friend Ry Adney. She wrote to me and she said,

0:25:26.240 --> 0:25:30.840
<v Speaker 1>I'm hearing your Touch Screens podcast now and the HTC

0:25:31.040 --> 0:25:34.800
<v Speaker 1>Hero for Sprints supports multi touch. I've been crushing on

0:25:34.840 --> 0:25:37.159
<v Speaker 1>this phone for a while, but can't bring myself to

0:25:37.280 --> 0:25:41.520
<v Speaker 1>ditch my Palm Centro just yet. So yeah, we were

0:25:41.520 --> 0:25:43.399
<v Speaker 1>talking about, you know, the multi touch and how Apple

0:25:43.480 --> 0:25:48.399
<v Speaker 1>had had patented the multi touch technology. Um well as

0:25:48.440 --> 0:25:52.600
<v Speaker 1>long as as Google and HTC are creating a multi

0:25:52.640 --> 0:25:56.639
<v Speaker 1>touch system that doesn't infringe on that patent. They're fine

0:25:57.080 --> 0:25:59.400
<v Speaker 1>if they found a different way of doing it otherwise

0:25:59.400 --> 0:26:03.760
<v Speaker 1>they could might they may see a letter from Apple's lawyers.

0:26:03.880 --> 0:26:06.119
<v Speaker 1>It's not that Apple is known to be litigitus or anything,

0:26:06.880 --> 0:26:11.520
<v Speaker 1>not at all. And on that happy note, let's wind up, guys,

0:26:11.600 --> 0:26:14.760
<v Speaker 1>thank you for listening. Remember we have tech Stuff Live.

0:26:14.840 --> 0:26:18.160
<v Speaker 1>It's a show that's live every Tuesday, one pm Eastern.

0:26:18.200 --> 0:26:20.280
<v Speaker 1>You can find that at the house stuff works dot

0:26:20.280 --> 0:26:22.600
<v Speaker 1>com blogs. Let's just go to the house stuff works

0:26:22.640 --> 0:26:25.640
<v Speaker 1>dot com home page. Look on the right side. You'll

0:26:25.640 --> 0:26:29.120
<v Speaker 1>find links to the blogs there and you'll just look

0:26:29.160 --> 0:26:31.679
<v Speaker 1>for the one that says watch tech stuff Live or

0:26:31.720 --> 0:26:35.200
<v Speaker 1>some variation thereof, because that's where you can see our show.

0:26:35.720 --> 0:26:37.920
<v Speaker 1>And uh, we're starting to get some really good feedback

0:26:37.960 --> 0:26:40.560
<v Speaker 1>on it, but we need more more viewers. So I

0:26:40.920 --> 0:26:43.960
<v Speaker 1>know that one pm you might be working or in class,

0:26:44.080 --> 0:26:46.320
<v Speaker 1>you know, just find a quiet corner that you can

0:26:46.440 --> 0:26:49.240
<v Speaker 1>hide in and watch and you'll love it. You'll love

0:26:49.280 --> 0:26:51.360
<v Speaker 1>It's the best use of twenty two minutes of your

0:26:51.359 --> 0:26:55.800
<v Speaker 1>time right there. Yeah. Also, remember that we both contribute

0:26:55.840 --> 0:26:58.320
<v Speaker 1>to the blogs at how softwork dot com. We I

0:26:58.359 --> 0:27:02.280
<v Speaker 1>write articles occasionally for the website uh thus List Senior

0:27:02.280 --> 0:27:05.160
<v Speaker 1>writer title. I'll there you go, so visit how stuff

0:27:05.160 --> 0:27:07.159
<v Speaker 1>Works dot com and Chris and I will talk to

0:27:07.160 --> 0:27:12.800
<v Speaker 1>you again really soon. For more on this and thousands

0:27:12.800 --> 0:27:15.720
<v Speaker 1>of other topics, visit how stuff Works dot com and

0:27:15.800 --> 0:27:17.680
<v Speaker 1>be sure to check out the new tech stuff blog

0:27:17.880 --> 0:27:24.840
<v Speaker 1>now on the House Stuff Works homepage, brought to you

0:27:24.880 --> 0:27:28.240
<v Speaker 1>by the reinvented two thousand twelve camera. It's ready, are

0:27:28.280 --> 0:27:28.440
<v Speaker 1>you