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A method for characterizing and identifying audio material using reduced-information audio characterizations based on auditory scene analysis is presented. In the method described, a single or multi-channel audio signal is analyzed and the location and duration of the individual audio auditory events are identified. The auditory events are used to create a reduced-information, audio signature that can be used to determine whether one audio signal is derived from another audio signal. The audio signal comparison removes or minimizes the effect of temporal shift or delay on the audio signals, calculates a measure of similarity, and compares the measure of similarity against a threshold providing a fast, highly accurate and automatic method of signal identification.
Author (s): Crockett, Brett; Smithers, Michael
Affiliation:
Dolby Laboratories
(See document for exact affiliation information.)
AES Convention: 118
Paper Number:6416
Publication Date:
2005-05-06
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Session subject:
Analysis and Synthesis of Sound
Permalink: https://aes2.org/publications/elibrary-page/?id=13132
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Crockett, Brett; Smithers, Michael; 2005; A Method for Characterizing and Identifying Audio Based on Auditory Scene Analysis [PDF]; Dolby Laboratories; Paper 6416; Available from: https://aes2.org/publications/elibrary-page/?id=13132
Crockett, Brett; Smithers, Michael; A Method for Characterizing and Identifying Audio Based on Auditory Scene Analysis [PDF]; Dolby Laboratories; Paper 6416; 2005 Available: https://aes2.org/publications/elibrary-page/?id=13132