The Journal of the Acoustical Society of America, 2007-02, Vol.121 (2), p.723-742
2007
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Details
- Autor(en) / Beteiligte
- Titel
- Speech production knowledge in automatic speech recognition
- Ist Teil von
- The Journal of the Acoustical Society of America, 2007-02, Vol.121 (2), p.723-742
- Ort / Verlag
- Woodbury, NY: Acoustical Society of America
- Erscheinungsjahr
- 2007
- Quelle
- AIP Journals Complete
- Beschreibungen/Notizen
- 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, a survey of a growing body of work in which such representations are used to improve automatic speech recognition is provided.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 0001-4966eISSN: 1520-8524DOI: 10.1121/1.2404622Titel-ID: cdi_proquest_miscellaneous_85661427
- Format
- –
- Schlagworte
- Acoustic signal processing, Acoustics, Bayes Theorem, Biological and medical sciences, Ear and associated structures. Auditory pathways and centers. Hearing. Vocal organ. Phonation. Sound production. Echolocation, Exact sciences and technology, Fundamental and applied biological sciences. Psychology, Fundamental areas of phenomenology (including applications), Humans, Likelihood Functions, Markov Chains, Neural Networks (Computer), Phonation, Phonetics, Physics, Semantics, Sound Spectrography, Speech Acoustics, Speech Articulation Tests, Speech Production Measurement, Speech Recognition Software, Vertebrates: nervous system and sense organs