Pre-processing speech for speech recognition
| Autor: | Antoni Abella, Thomas Kemp, Raquel Tato |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Acoustics and Ultrasonics
Arts and Humanities (miscellaneous) Computer Science::Sound Computer science Speech recognition Acoustic model Computer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing) Speech processing Linear predictive coding Signal |
| Zdroj: | The Journal of the Acoustical Society of America. 128:964 |
| ISSN: | 0001-4966 |
| DOI: | 10.1121/1.3481751 |
| Popis: | A method for pre-processing speech, in particular for recognizing speech, including receiving a speech signal, separating a spectrum of said speech signal into a number of predetermined frequency sub-bands, analyzing said speech signal within each of said frequency sub-bands, generating respective band-dependent acoustic feature data for each of said respective frequency sub-bands, deriving band-dependent likelihoods for occurrences of speech elements or within said speech signal based on said band-dependent acoustic feature data, analyzing said speech signal within said spectrum, generating full-band acoustic feature data, which are at least in part representative for said speech signal with respect to said spectrum, deriving a full-band likelihood for occurrences of speech elements or of sequences thereof within said speech signal based on said full-band acoustic feature data, deriving an overall likelihood for occurrences of speech elements within said speech signal based on said band-dependent likelihoods and said full-band likelihood. |
| Databáze: | OpenAIRE |
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