SoundHound: The Ultimate Song Identification App [iPhone]
SoundHound for iPhone is an app that is perfect for finding the titles to your favorite songs on the radio, lyrics to the existing tunes in your library, and new music that you may have never even heard before. Pairing social interaction with technology like vocal recognition, the app is on its way to becoming one of the best general music apps on the market.
With SoundHound, you’ll become the music genius that everyone loves. Members of the opposite sex will flock to you for your musical charm. Radio stations will call you night and day, wanting to hire you on the spot. Granted, I can’t guarantee any of this, but I will say that the song identification app is pretty awesome.
Recognize Nearly Any Song
One of the main drawing factors of SoundHound is its capability to recognize any song simply by listening to a recording, singing, or even humming. I put the first method to the test using a few songs that were slightly vague, and just as expected, it worked! Furthermore, I want to emphasize just how fast the identification process goes. It took mere seconds to figure out I was playing “When The Levee Breaks” by Led Zeppelin.
However, when it came to the other two methods, I had some trouble. Of course, I’ll give SoundHound some credit – I’m not that great of a singer, and the poor app likely had a few issues trying to figure out what exactly it was that I was attempting to vocalize. This may have been just a fluke, but I tried another way of testing the feature out: using YouTube covers.
I searched for a few popular songs done by a bunch of unknowns, and even then SoundHound couldn’t recognize the song. As for humming, the app still couldn’t make out my tune. Regardless, it’s forgivable, and I’m going to assume that while it did not work for me, it will likely work elsewhere (even if not perfectly).
Connect With Music In New Ways
Another cool set of features that the song identification app offers is its unique connection to the world of music. Right off the bat, you’ll get access to the SoundHound Charts which showcase the most-searched tunes across the app’s user-base. Furthermore, you’ll be able to use a big map that displays what people are listening to locally and worldwide!
With the SoundHound Headlines, you can listen to free song streams and new artists. All in all, this app is perfect for finding new tunes that you may have not listened to before.
Speaking of which, SoundHound will occasionally provide recommendations based upon your recent searches. Again, it’s not perfect, and I’m not entirely sure what search algorithm the app uses, but it’s still a decent feature. The app’s goal is to provide you with as much music information as possible, and it definitely succeeds at doing so.
In that same vein, the app will take your existing music and provide additional information pertaining to your artists and songs. For instance, SoundHound offers live Twitter and Facebook feeds in-app, and you can read lyrics alongside your favorite tunes as they play. As a note, not every artist or song offers this information, but for the most part, it’s there.
Enjoy It All In A Nice User Interface
Over-all, the design of the app is very fluid and clean. I will admit that the ads for this one are rather bothersome, and the $6.99 no-ad upgrade was a bit tempting. Despite this, everything is quite colorful and veers far away from any part of Apple’s existing design. With that said, SoundHound has accomplished creating a user experience that is pleasant.
I found no fault with the app’s touch-sensitivity or responsiveness. Everything moved exactly as it should, and never did I once want to throw my iPhone against the wall.
That’s it for SoundHound, and for the record, I think that it’s a song identification app you won’t regret. Whether you’re in the car and don’t know the name of that one song on the radio, or if you’re chilling on the couch wanting to hear some new stuff, this app is perfect for it all.
Do you already have SoundHound? Were you able to get the humming and singing recognition to work? Have you found any good music using SoundHound?
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