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• W96341207 abstract "This study considers the problem of attaching meaning to non-speech sound. The purpose is to ably demonstrate automated annotation of a sound with a string of semantically appropriate words and also retrieval of sounds most relevant to a given textual query. This is achieved by constructing acoustic and semantic spaces from a database of sound and description pairs and using statistical models to learn similarity in each space. The spaces are then linked to allow retrieval in either direction. A key aspect is effective prediction of novel events through generalisation from known examples. The motivation and implementation of the system is described using such techniques and representations as Mel frequency cepstral coefficients, Gaussian mixture models, hierarchical clustering and latent semantic analysis. System results are evaluated with automatic classification measures and human judgements demonstrating that this is an effective method for annotation and retrieval of general sound." @default.
• W96341207 created "2016-06-24" @default.
• W96341207 creator A5020587853 @default.
• W96341207 date "2005-01-01" @default.
• W96341207 modified "2023-09-27" @default.
• W96341207 title "Semantic-based Audio Recognition and Retrieval" @default.
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• W96341207 hasPublicationYear "2005" @default.
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