Audible Magic Corporation

Muscle Fish

Douglas F Keislar

Erling H Wold

James A Wheaton

Thomas L Blum

Vance Ikezoye

James Schrempp

James B Schrempp

A method and system for playlist generation is disclosed. In one aspect, the system may include at least one analysis module for receiving and analyzing an unknown work and generating a corresponding representation thereof, and at least one identification (ID) server for receiving the representation from the analysis modules and determining the identity of the unknown work.

Play list generation method and apparatus

Playlist generation method and apparatus

A method and apparatus for creating a signature of a sampled work in real-time is disclosed herein. Unique signatures of an unknown audio work are created by segmenting a file into segments having predetermined segment and hop sizes. The signature then may be compared against reference signatures. One aspect may be characterized in that the hop size of the sampled work signature is less than the hop size of reference signatures. A method for identifying an unknown audio work is also disclosed.

Method and apparatus for creating a unique audio signature

A system that performs analysis and comparison of audio data files based upon the content of the data files is presented. The analysis of the audio data produces a set of numeric values (a feature vector) that can be used to classify and rank the similarity between individual audio files typically stored in a multimedia database or on the World Wide Web. The analysis also facilitates the description of user-defined classes of audio files, based on an analysis of a set of audio files that are members of a user-defined class. The system can find sounds within a longer sound, allowing an audio recording to be automatically segmented into a series of shorter audio segments.

Method and article of manufacture for content-based analysis, storage,

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Berkeley, CA, United States of America

Douglas F Keislar