Posts Tagged ‘music’

TransProse Uses Sentiment Analysis to Turn Novels into Music

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Katharine Gammon of Inside Science reports, “When reading a novel, it’s common to let one’s mind wander into the imaginary: What might these characters look or sound like? Now, a new project uses algorithms to translate the emotions conveyed within a text into music that reflects the same sentiments. TransProse, as the project is called, is a collaboration between Hannah Davis, a New York-based programmer and artist, and Saif Mohammad, a research officer at the National Research Council Canada in Ottawa. The inspiration for the project came when Davis was in a master’s program for creative communication technology.” Read more

In iOS 8, Apple Stirs Up Siri, Connects Music, Home and Health

wwdcApple’s announcements at its WorldWide Developers’ Conference today had the crowd responding enthusiastically (of course, it was an Apple’s Developers Conference, so that just comes with the territory).

Much of the applause came in response to the new iOS 8 and its enhanced capabilities. As had been expected, as part of this, virtual assistant Siri got a bit of a facelift.

In the new iOS 8 for iPhones and iPads, due in the fall, there’s no need to touch your iPhone if it’s plugged in and you’ve got a question that needs answering and no hands to touch the mike. Apple also has partnered with music recognition service Shazam so that Siri now can recognize songs playing around them, and purchase them too; Shazam creates digital fingerprints of the audio it hears and matches it against its database of millions of tracks. Its natural language processing is fluent in 22 languages now, and streaming voice recognition means you can see what you’re saying as you are saying it.

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Music Discovery Service seevl.fm Launches

screen shot of seevl.fm search: Lou ReedThis week marked the public launch of seevl.fm.

SemanticWeb.com has tracked seevl’s development through various incarnations, including a YouTube plugin and as a service for users of Deezer (available as a Deezer app). This week’s development, however, sees the service emerge as a stand-alone, cross-browser, cross-platform, mobile-ready service; a service that is free and allows for unlimited search and discovery. So, what can one do with seevl?

Following the death of Lou Reed this week, I (not surprisingly) saw mentions of the artist skyrocket across my social networks. People were sharing memories and seeking information — album and song titles, lyrics, biographies, who influenced Reed, who Reed influenced, and a lot of people simply wanted to listen to Reed’s music.  A quick look at the seevl.fm listing for Lou Reed shows a wealth of information including a music player pre-populated with some of the artist’s greatest hits.

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Let The Music Play On: iTunes Radio Arrives Soon With Siri Support

Does the leading Internet radio service Pandora, which is based on Pandora Media’s Music Genome Project, have anything to fear from Apple?

Apple’s iPhone 5C and 5S smartphones, formally launched yesterday, boast the new iOS 7 operating system to be officially released next week, and that means they also boast iTunes Radio. Craig Federighi, senior vice president of Software Engineering, talked about the expected feature at the launch, according to reports, discussing how users can create their own stations from favored artists, songs and genres, a la Pandora.

iTunes Radio will be available to iPhone, iPad, iPod touch, Mac, PC, and Apple TV users. As consumers use iTunes Radio more, it will get to know their tastes to deliver more of what they like. Pandora, which just celebrated the 5-year anniversary of its iPhone app in July, works by letting users pop in a favorite artist, song, or genre name for the Music Genome Project to scan against the million or so pieces of music it’s already analyzed by their various attributes, with music “genes” related to characteristics like type of background vocals or gender of lead vocalist, to find options with similar musical features.

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Decibel Makes Sweet Music With Neo4j Graph Database

At Decibel, provider of metadata-driven music discovery APIs, Neo4j has a featured role in a learning project that is the start of a plan to replace the relational database of 5 million tracks from 1.1 million albums by 300,000 artists – and the world of connections around that data – with a NoSQL graph database. With Decibel’s APIs, customers like the Blue Note Records jazz label, in partnership with developer Groovebug, have turned their record collections into a virtual record store, including track listings, individual track participations, recording session venues and dates.

With the APIs that tap into Decibel and fold into their own programs, developers at record labels, MP3 services and other digital music/entertainment or other venues can connect everything from the debut date of the bootleg Thin Lizzy album, Remembering Part 1, to its number of tracks on it to Sade’s 2011 coverage of Still in Love With You, to accommodate music-lovers’ search and discovery experiences. Or they’ll be able to surface that a piece of classical music in German is the same as another piece referenced by its French name, or that a musician that has gone by three different names in his career is one and the same.

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All That Jazz: A Linked Data Look Into The Musical Genre’s Community Relationships

Linked Data projects in and of themselves are cool. But sometimes, one of them just stands out as even cooler. Such is the case with Linked Jazz, some 2900-triples strong in the service of identifying and revealing the network of social relationships among the jazz community.

Talk about all that jazz. The effort, led by Cristina Pattuelli, associate professor at the Pratt Institute School of Information and Library Science, includes a visualization tool developed by a graduate student there, Matthew Miller, that provides different and compelling ways to explore connections among the jazz greats and the lesser-knowns, as well. You can view individuals based on the number of connections they have, for instance, or on their shared connections.

“It can be used dynamically to click on an artist and see the pattern of all the connections around him, play a clip from YouTube, have a little bio,” Pattuelli says. It’s innovative, she says, because it runs direct from a browser. Read more

iAlbums Alpha’s Semantic Search

iAlbums Alpha has launched utilizing a proprietary semantic curation engine. The article states, “iAlbums is the first major development in on-device music players since the launch of the iPod. A free application in the iPhone app store, iAlbums’ patent pending semantic engine analyzes the music already existing on one’s iPhone or iPod touch and gathers the most relevant and exciting information from over 20 different sources across the web. This content (videos, artwork, photos, artist quotes, lyrics, tweets and more) streams seamlessly into an easy to use feed on the user’s player, providing an all encompassing music experience in an interactive app that enhances the existing music files in their mobile libraries.” Read more

Liner Notes for YouTube – Seevl Plugin

Seevl.netSeevl, the music discovery service built on Semantic Technology that I wrote about a few months ago, has released a significant update to their plugin for YouTube. The plugin is still only available for the Google Chrome browser, but other browser plugins are in the works. You can grab the Chrome plugin here.

Once the plugin is installed, the user has new options available when visiting YouTube. First, there’s a new search option next to the standard YouTube search bar.

Image of Seevl search Link on YouTube site

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Just How Big A Rock Star Is Eric Clapton?

Who has had the greatest impact on rock music? It’s a question that still isn’t answered, despite the efforts of Ronald P. Reck, principal at RRecktek LLC, and Kenneth B. Sall, principal systems engineer/XML data analyst at Ken Sall Consulting.

The team wanted to use semantic technology, along with DBpedia and MusicBrainz data sources, to try and figure out the answer. Reck and Sall recently published a paper, Determining the Impact of Eric Clapton on Music Using RDF Graphs: Selected Challenges of Semantics Across and Within Datasets, based on their experiences. Their plan was to use RDF and SPARQL to query properties and relationships among musical artists to reveal their activity, impact and “six degrees of Eric Clapton” connections to other artists.

Reck and Sall initially saw this project as a door-opener to showing relationships between pieces of data, and drawing inferences and conclusions from them, for a more serious purpose: “We were interested in music, but the real application, especially in the government, is tying the clues together, for example, around terrorists,” says Sall. It turns out that musicians and terrorists have some things in common — they tend to have specific roles in their organizations, and may cross-partner with other groups in loose relationships.

While the work didn’t result in answering the original question posed, it did reveal, as Sall puts it, “what can go wrong in doing this kind of semantic analysis.” That’s in itself useful, as it presents an opportunity to find at least some solutions around those pitfalls.

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Google Announces Rich Snippets for Music

Google recently announced that they have created a rich snippets format for music. According to the article, “Since we introduced Rich Snippets back in 2009, we’ve created rich snippet formats for a variety of different content types, such as Events, People and Reviews, to show users relevant information about the content they can find on a site. Today, we announced the launch of rich snippets for music. With this new feature, site owners can mark up their pages using the newly created music markup spec on schema.org, and search results for that site may start displaying song information in the snippet so that users know that there are songs or samples there for them to listen to.” Read more

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