Name: Computational Models of American Speech (Volume 32) (Lecture Notes) (en N)
SKU: 62048566
Price: 806.16 MXN
Availability: InStock
Author: M. Margaret Withgott; Francine R. Chen
ISBN: 9780937073988

portada Computational Models of American Speech (Volume 32) (Lecture Notes) (en N)

Computational Models of American Speech (Volume 32) (Lecture Notes) (en N)

Formato

Libro Físico

Editorial

Center For The Study Of Language And Inf

Autor

M. Margaret Withgott; Francine R. Chen

Idioma

N° páginas

144

Encuadernación

Tapa Blanda

ISBN13

9780937073988

N° edición

Computational Models of American Speech (Volume 32) (Lecture Notes) (en N)

M. Margaret Withgott; Francine R. Chen (Autor) · Center For The Study Of Language And Inf · Tapa Blanda

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Reseña del libro "Computational Models of American Speech (Volume 32) (Lecture Notes) (en N)"

A new perspective on phonetic variation is achieved in this volume through the construction of a series of models of spoken American English. In the past, computer theorists and programmers investigating pronunciation have often relied on their own knowledge of the language or on limited transcription data. Speech recognition researchers, on the other hand, have drawn on a great deal of data but without examining in detail the information about pronunciation the data contains. The authors combine the best of each approach to develop probabilistic and rule-based computational models of transcription data. An ongoing controversy in studies of phonetic variation is the existence and proper definition of a phonetic unit. The authors argue that assumptions about the units of spoken language are critical to a computational model. Their computational models employ suprasegmental elements such as syllable boundaries, stress, and position in a unit called a metrical foot. The use of such elements in modeling data enables the creation of better computational models for both recognition and synthesis technology. This book should be of interest to speech engineers, linguists, and anyone who wishes to understand symbolic systems of communication.