Projects per year
Abstract
Although much is known about how speech is produced, and research into speech production has resulted in measured articulatory data, feature systems of different kinds and numerous models, speech production knowledge is almost totally ignored in current mainstream approaches to automatic speech recognition. Representations of speech production allow simple explanations for many phenomena observed in speech which cannot be easily analyzed from either acoustic signal or phonetic transcription alone. In this article, we provide a survey of a growing body of work in which such representations are used to improve automatic speech recognition.
Original language | English |
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Pages (from-to) | 723-742 |
Number of pages | 20 |
Journal | The Journal of the Acoustical Society of America |
Volume | 121 |
Issue number | 2 |
DOIs | |
Publication status | Published - 1 Feb 2007 |
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Dive into the research topics of 'Speech production knowledge in automatic speech recognition'. Together they form a unique fingerprint.Projects
- 6 Finished
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Efficient model-level integration of novel methods into HMM speech recognition
King, S. (Principal Investigator)
UK central government bodies/local authorities, health and hospital authorities
1/07/06 → 29/02/12
Project: Research
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TRAJECTORY MODELS FOR SPEECH PROCESSING
King, S. (Principal Investigator)
1/08/05 → 31/10/05
Project: Research
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Streamed models for automatic speech recognition (EPSRC Advanced Research Fellowship)
King, S. (Principal Investigator)
1/01/05 → 31/12/09
Project: Research