I love Shazam but honestly, if they remove integrations like "Open in Spotify" which seems likely, I would probably switch to using SoundHound.
Apple Buys Shazam to Boost Apple Music
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Re: Apple Buys Shazam to Boost Apple Music
#52The data that Shazam can gather must be incredibly useful to record labels, in that many people wanting to know the artist/song is a strong signal that a track is a potential hit. Since Apple already have data about what people are actually listening to (by location), this gives them additional data about what people might want to listen to.
Re: Apple Buys Shazam to Boost Apple Music
#53Wow, that is an unusual exit after 6 rounds of funding. Crunchbase has it at $143M in funding up to that point. It goes to show how the switch from radio (station directed programming) to streaming (user directed programming) has put a huge crimp in music discovery and music promotion. [1] https://www.crunchbase.com/organization/shazam
Perhaps. Impossible to know the inside info but I can conceive of a scenario where Apple said "we are going to build this, either by acquiring you, your competitor, or starting from scratch. ... so what will it be?" Best outcome for all in that case would be acquisition. (Just ask Flux)
Re: Apple Buys Shazam to Boost Apple Music
#54Earlier quoted context omitted.
Apple is probably going to kill the app. They probably just bought it for the tech.
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Re: Apple Buys Shazam to Boost Apple Music
#55Earlier quoted context omitted.
I'd be more curious to see you try to build this in an afternoon. Also, it works a lot better than being able to find "slightly distorted" versions. It can catch a song in a noisy room where you can barely make out the song to begin with. Couple months back it found a song when there was a very loud crowd yelling over it. They're also able to determine differences between versions of songs pretty well. Some remixes m…
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Re: Apple Buys Shazam to Boost Apple Music
#56Earlier quoted context omitted.
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This has the smell of a comment written by someone with limited real-world experience. Simply writing down the list of problems you would have to solve to build Shazam would take an entire afternoon. Yes, deep neural networks have proven remarkably useful for machine perception, but you would still need to collect a colossal amount of audio data, fingerprint all of it, build a low-latency processing infrastructure fo…
That's actually the easy part. You already have the music. Distorting it by superimposing background noise is really not difficult.
Re: Apple Buys Shazam to Boost Apple Music
#57I'm a bit shocked that they're paying $600M. Is Shazam even profitable? It feels like a clever tech demo from 10 years ago that's already been replicated in search engines like Google.
[1] https://www.macrumors.com/2016/04/20/shazam-for-brands-user-...
[2] https://www.billboard.com/articles/business/7526322/shazam-1...
Re: Apple Buys Shazam to Boost Apple Music
#58Re: Apple Buys Shazam to Boost Apple Music
#59Earlier quoted context omitted.
Apple is probably going to kill the app. They probably just bought it for the tech.
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The smart money, though, is on the main chance: you don't understand the purchase, or the problem domain, or both.
In this case I think you are overestimating the progress in NN and search, and underestimating the signal processing. Have you tried this with any significant corpus?
"Whack it through a FFT and do correlation " seems like one of the obvious solution to the toy problem version, but this is exactly the sort of thing that usually falls apart in practice.