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Phonological parsing in speech recognition

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Published by Kluwer Academic Publishers in Boston .
Written in English

Subjects:

  • Automatic speech recognition.,
  • Phonetics -- Data processing.

Book details:

Edition Notes

StatementKenneth W. Church.
SeriesThe Kluwer international series in engineering and computer science ;, 38., VLSI, computer architecture, and digital signal processing, Kluwer international series in engineering and computer science ;, SECS 38., Kluwer international series in engineering and computer science.
Classifications
LC ClassificationsTK7882.S65 C49 1987
The Physical Object
Paginationxv, 261 p. :
Number of Pages261
ID Numbers
Open LibraryOL2392820M
ISBN 100898382505
LC Control Number87022325

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Additional Physical Format: Online version: Church, Kenneth Ward. Phonological parsing in speech recognition. Boston: Kluwer Academic Publishers, © Phonological Parsing in Speech Recognition (The Springer International Series in Engineering and Computer Science) [Church, K.] on *FREE* shipping on qualifying offers. Phonological Parsing in Speech Recognition (The Springer International Series in Engineering and Computer Science)Format: Paperback. Book Reviews Phonological Parsing in Speech Recognition engineering standpoint) of an architecture that provides a clear separation of linguistic and nonlinguistic knowledge. Get this from a library! Phonological Parsing in Speech Recognition. [Kenneth W Church] -- It is well-known that phonemes have different acoustic realizations depending on the context. Thus, for example, the phoneme /t! is typically realized with a heavily aspirated strong burst at the.

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the phonological representations of children with and without speech impairment. The findings also provide support for the link between the representation of phonological information in long-term memory and children’s speech production accuracy, phonological awareness and print decoding ability. The speech signal of the same phonetic segment varies across dialects and speakers — within speakers in certain segmental and prosodic contexts, and even for the same speaker and context with repetition, speaking rate, emotional state, microphones, etc. Not surprisingly, speech recognition with simple spectral template matching has failed Cited by: speech recognition, in Holmes (). The collection of papers in Niemann et al. () and the volume edited by Waibel & Lee () provide an excellent overview of current trends in speech recognition and notably not one of these papers addresses the issue of phonological parsing. Rather phonological parsing. Fundamentals of Speech Recognition This book is an excellent and great, the algorithms in Hidden Markov Model are clear and simple. This book is basic for every one who need to pursue the research in Speech processing based on HMM. Don't hesitate to purchase this book. Read by: