System and methods for recognizing sound and music signals in high noise and distortion
First Claim
1. A method implemented in a computing system for constructing a database index for a database of media samples, comprising:
- landmarking each media sample to generate a list of reproducible timepoints;
computing a first vector between a first landmark and a second landmark;
computing a second vector between the second landmark and a third landmark;
constructing a fingerprint, the finger print comprising the first vector and second vector;
wherein the first landmark and the fingerprint forming a landmark/fingerprint pair;
generating an index set for the media sample, the index set including a list of at least one of the landmark/fingerprint pairs, and operable to be used for identification of unknown media samples; and
storing said index set in a memory communicatively coupled to the computing system.
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Abstract
A method for recognizing an audio sample locates an audio file that most closely matches the audio sample from a database indexing a large set of original recordings. Each indexed audio file is represented in the database index by a set of landmark timepoints and associated fingerprints. Landmarks occur at reproducible locations within the file, while fingerprints represent features of the signal at or near the landmark timepoints. To perform recognition, landmarks and fingerprints are computed for the unknown sample and used to retrieve matching fingerprints from the database. For each file containing matching fingerprints, the landmarks are compared with landmarks of the sample at which the same fingerprints were computed. If a large number of corresponding landmarks are linearly related, i.e., if equivalent fingerprints of the sample and retrieved file have the same time evolution, then the file is identified with the sample. The method can be used for any type of sound or music, and is particularly effective for audio signals subject to linear and nonlinear distortion such as background noise, compression artifacts, or transmission dropouts. The sample can be identified in a time proportional to the logarithm of the number of entries in the database; given sufficient computational power, recognition can be performed in nearly real time as the sound is being sampled.
78 Citations
14 Claims
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1. A method implemented in a computing system for constructing a database index for a database of media samples, comprising:
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landmarking each media sample to generate a list of reproducible timepoints; computing a first vector between a first landmark and a second landmark; computing a second vector between the second landmark and a third landmark; constructing a fingerprint, the finger print comprising the first vector and second vector;
wherein the first landmark and the fingerprint forming a landmark/fingerprint pair;generating an index set for the media sample, the index set including a list of at least one of the landmark/fingerprint pairs, and operable to be used for identification of unknown media samples; and storing said index set in a memory communicatively coupled to the computing system. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A system for characterizing media samples, the system comprising:
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at least one landmark, each landmark corresponding to a reproducible timepoint in the media sample; and a fingerprint associated with each landmark, each fingerprint comprising a value corresponding to a vector between the associated landmark and a second landmark; wherein each landmark and associated fingerprint form a landmark/fingerprint pair. - View Dependent Claims (8, 9, 10, 11, 12, 13, 14)
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Specification