Modelling the state duration of hidden Markov models (HMMs) can effectively improve the accuracy in decoding the state sequence of an utterance and result in an improvement of speech recognition accuracy. However, when a speech signal is contaminated by ambient noise, the decoded state sequence may
On the use of a family of signal limiters for recognition of noisy speech
โ Scribed by Chin-Hui Lee; Chih-Heng Lin
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 726 KB
- Volume
- 12
- Category
- Article
- ISSN
- 0167-6393
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