The Echo Nest - The Diigo Meta page

• 16 Mar 08
  

  Carlos Afonso

  Ferramenta de análise de som

  musica som

• 06 Mar 08
  

  Simon Decreuze

  audio music analysis

• 25 Feb 08
  

  Jeff Giddens

  The Echo Nest is a music technology company founded by two MIT Media Lab PhDs. The Echo Nest’s proprietary music analyzer API automatically analyzes audio (e.g. aif, wav, mp3, m4a), and generates an XML file that describes the musical and structural con

  cool audio visualization

• 23 Feb 08
  

  Thomas Edmonds Jr.

  The Echo Nest is a music technology company founded by two MIT Media Lab PhDs. The Echo Nest’s proprietary music analyzer API automatically analyzes audio (e.g. aif, wav, mp3, m4a), and generates an XML file that describes the musical and structural con

  audio music analysis api xml visualization mp3 beat generator

• 21 Feb 08
  

  Carlos Koulatsi

  xml musicanddesign processing flashstuff flash

• 19 Feb 08
  

  Donghai Ma

  audio music api visualization mp3 media cool

• 

  Francois Lamotte

  actionscript analyse analysis api audio flash features cool

• 03 Feb 08
  

  flyingpudding

  now you can easily analyze your MP3s for audio features. gives back XML.

  echonest xml music analysis audio mp3 MIR tool delicious

• 02 Feb 08
  

  Bruno Martins

  The Echo Nest is a music technology company founded by two MIT Media Lab PhDs. The Echo Nest’s proprietary music analyzer API automatically analyzes audio (e.g. aif, wav, mp3, m4a), and generates an XML file that describes the musical and structural con

  analysis api audio generator lab media metadata mir mit mp3 music processing service technology visualization webservice webservices xml

• 31 Jan 08
  

  Ben Zevenbergen

  Cool mash up service

  media mp3 music analysis webservice

• 28 Jan 08
  

  Trent Adams

  audio signal processing webservice

  • The Echo Nest is a music technology company founded by two MIT Media Lab PhDs. The Echo Nest’s proprietary music analyzer API automatically analyzes audio (e.g., aif, wav, mp3, m4a), and generates an XML file describing the musical and structural content of the music. Computation takes about 1/50th of the duration of the track and the text output is about 1/20th of the size of its corresponding mp3.
  • Unlike other automatic methods of acoustic feature extraction, which progress strictly on raw audio signal, our technology was inspired by how people perceive music.  As a result, developers are able to automatically extract and use a wide array of time-based musical attributes for any song, including: timbre, pitch, rhythm, loudness, onsets, beats, tempo, sections, time signature, key, etc.
• 27 Jan 08
  

  David Jennings

  First offering from the nest

  analysis xml Digital music

  • The Echo Nest is a music technology company founded by two MIT Media Lab PhDs. The Echo Nest’s proprietary music analyzer API automatically analyzes audio (e.g., aif, wav, mp3, m4a), and generates an XML file describing the musical and structural content of the music. Computation takes about 1/50th of the duration of the track and the text output is about 1/20th of the size of its corresponding mp3. Unlike other automatic methods of acoustic feature extraction, which progress strictly on raw audio signal, our technology was inspired by how people perceive music. As a result, developers are able to automatically extract and use a wide array of time-based musical attributes for any song, including: timbre, pitch, rhythm, loudness, onsets, beats, tempo, sections, time signature, key, etc.

Would you like to comment?

Join Diigo for a free account, or sign in if you are already a member.