Speech Recognition and Understanding || Continuously Variable Transition Probability HMM for Speech Recognition
β Scribed by Laface, Pietro; De Mori, Renato
- Book ID
- 120311576
- Publisher
- Springer Berlin Heidelberg
- Year
- 1992
- Tongue
- German
- Weight
- 627 KB
- Category
- Article
- ISBN
- 3642766269
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During the last decade, the most significant advances in the field of continuous speech recognition (CSR) have arisen from the use of hidden Markov models (HMM) for acoustic modeling. These models address one of the major issues for CSR: simultaneous modeling of temporal and frequency distortions in
During tile past decade, the applicability of hidden Markov models (HMM) to various facets of speech analysi s has been demonstrated in several different experiments. These investigations all rest on the assumption that speech is a quasi-stationary process whose stationary intervals can be identifie