Journal ArticleDOI
Automatic recognition of 200 words
V.M. Velichko,N.G. Zagoruyko +1 more
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TLDR
The logarithmic characteristics of acoustic signal in five bands are extracted as features and the measure of similarity between the words of standard and control sequences is calculated by the words maximizing a definite functional using dynamic programming.Abstract:
Experiments on the automatic recognition of 203 Russian words are described The experimental vocabulary includes terms of the language, ALGOL -60 together with others The logarithmic characteristics of acoustic signal in five bands are extracted as features The measure of similarity between the words of standard and control sequences is calculated by the words maximizing a definite functional using dynamic programming The average reliability of recognition for one speaker obtained for experiments using 5000 words is 0·95 The computational time for recognition is 2-4 secread more
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Journal ArticleDOI
Dynamic programming algorithm optimization for spoken word recognition
TL;DR: This paper reports on an optimum dynamic progxamming (DP) based time-normalization algorithm for spoken word recognition, in which the warping function slope is restricted so as to improve discrimination between words in different categories.
Journal ArticleDOI
Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences
S. Davis,Paul Mermelstein +1 more
TL;DR: In this article, several parametric representations of the acoustic signal were compared with regard to word recognition performance in a syllable-oriented continuous speech recognition system, and the emphasis was on the ability to retain phonetically significant acoustic information in the face of syntactic and duration variations.
Book
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Dan Jurafsky,James Martin +1 more
TL;DR: This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora, to demonstrate how the same algorithm can be used for speech recognition and word-sense disambiguation.
Journal ArticleDOI
Minimum prediction residual principle applied to speech recognition
TL;DR: A computer system is described in which isolated words, spoken by a designated talker, are recognized through calculation of a minimum prediction residual through optimally registering the reference LPC onto the input autocorrelation coefficients using the dynamic programming algorithm.
Book
Speech Analysis, Synthesis and Perception
TL;DR: A second edition was begun in 1970, the aim was to retain the original format, but to expand the content, especially in the areas of digital communications and com puter techniques for speech signal processing.