Seevl, the free music discovery service that leverages semantic technology to help users conduct searches across a world of facts-in-combination to find new musical experiences and artist information, has launched an app for Deezer that will formally go live Monday. (See our in-depth look at Seevl here, and a screencast of how the service works here.) Deezer is a music streaming service available in more than 150 countries – not the U.S. yet, though – that claims more than 20 million users.
Seevl, which late last year updated its YouTube plug-in with more music discovery features and better integration with the YouTube user interface, models its data in RDF. In a blog post earlier this year, founder and CEO Alexandre Passant explained how the Seevl service uses Redis for simple key-value queries and SPARQL for some more complex operations, like recommendations or social network analysis, as well as provenance. As for the new Deezer app, it provides the same features as the YouTube app for easily navigating and discovering music among millions of tracks, Passant tells the Semantic Web Blog.
“We believe that we bring a fresh way to browse their artist and full music catalogue (20M+ tracks) by combining different flavors of music discovery into a single experience,” says Passant of the Deezer app launch. “Listeners can start using their social feed or personal recommendations to ‘bootstrap’ the discovery, and quickly dig into genres, sub-genres, collaborations, connections between artists and more and spend hours listening and discovering or re-discovering artists and hidden gems.”
The addition of the Deezer app to its portfolio marks the first step to seevl being a cross-platform music discovery service, he says. If a user’s friends use Deezer to update their Seevl library, that user will have those friends’ recommendations available in YouTube, Passant explains. “We believe that music has no frontiers, and that bridging the gap between services with a common discovery experience is very valuable for listeners and music fans,” he says. “We’re now working to bring Seevl to other platforms with the same vision, and are also expanding the company vision to other projects, with a dedicated focus towards music and data.”
Speaking of music discovery, reports this week are that Twitter is on the verge of launching Twitter Music leveraging technology it acquired with its purchase of WeAreHunted, a software company that developed proprietary search technology to continuously scan the web to find new music. According to a CNET story, the app, which suggests artists and songs to listen to based on a variety of signals, and is personalized based on which accounts a user follows on Twitter (including artists), could be released on iOS by month’s end. The #NowPlaying hashtag brings in links to songs tweeted by people you follow who tweet using that hashtag, the article says.
Nuance voice technologies also announced today that its Dragon voice recognition technologies are behind the 2013 SXSW Music Accelerator finalist Vela. Nuance is the name behind the semantic search app Dragon Go, since renamed Dragon Mobile Assistant whose updated features set supports playing music on Android devices by telling Dragon you want to listen to a particular artist or track in your song library. The Vela app for iOS lets people search for music on Spotify and Rdio via voice. Vela says it owns a proprietary technology, EMDA (enhanced music database assistance), which makes ordinary voice recognition smarter in reference to music, by being able to recognize unique artist names that might otherwise be missed.
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