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Tsau et al., 2012 - Google Patents

Content/context-adaptive feature selection for environmental sound recognition

Tsau et al., 2012

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Document ID
9664384737417227395
Author
Tsau E
Chachada S
Kuo C
Publication year
Publication venue
Proceedings of The 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference

External Links

Snippet

Environmental sound recognition (ESR) is a challenging problem that has gained a lot of attention in the recent years. A large number of audio features has been adopted for solving the ESR problem. In this work, we focus on the problem of automatic feature selection …
Continue reading at citeseerx.ist.psu.edu (PDF) (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/08—Speech classification or search
    • G10L15/18—Speech classification or search using natural language modelling
    • G—PHYSICS
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    • G—PHYSICS
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    • G10L15/02—Feature extraction for speech recognition; Selection of recognition unit
    • G—PHYSICS
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    • G06K9/6842—Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries according to the linguistic properties, e.g. English, German
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    • G—PHYSICS
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