Music retrieval from everything
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The Echo Nest Corporation, a music intelligence platform company based on years of music retrieval research and development, provides a number of retrieval, search and in- teractivity tools to music stores, social networks, musicians, developers and labels around the world. Our platform1 consists of a series of heterogeneous data types: text data from web crawls, audio signal processing and machine learning, natural language processing, graph manipulation and large scale map-reduce style data aggregation and sorting.
[1] William W. Cohen,et al. Web-collaborative filtering: recommending music by crawling the Web , 2000, Comput. Networks.
[2] Ryan M. Rifkin,et al. Musical query-by-description as a multiclass learning problem , 2002, 2002 IEEE Workshop on Multimedia Signal Processing..
[3] Steve Lawrence,et al. Inferring Descriptions and Similarity for Music from Community Metadata , 2002, ICMC.
[4] D. Ellis. Learning the meaning of music , 2005 .