Automatic speech recognition using hidden Markov models

被引：0

作者：

Botros, N.M. ^{[1
]}

Teh, C.K. ^{[1
]}

机构：

[1] Southern Illinois Univ, Carbondale, United States

来源：

Microcomputer Applications | 1994年 / 13卷 / 01期

关键词：

Acoustic waves - Algorithms - Analog to digital conversion - Data acquisition - Man machine systems - Random processes - Speech - Transfer functions;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In a previous study [1] we presented a method for isolated-word speech recognition using a back-propagation network as a pattern classifier. A major limitation of using such a classifier is its inability to allow duration variability between different utterances of the same word. In this study, we present an algorithm for isolated-word recognition taking into consideration the duration variability. The algorithm is based on extracting acoustical features from the speech signal and using them as the input to Hidden Markov Models (HMMs) to recognize the spoken word. Fifty words, each uttered ten times, are tested for recognition. Our results show that our system was able to recognize these words.

引用

页码：6 / 12

共 50 条

[21] HIDDEN MARKOV-MODELS FOR SPEECH RECOGNITION
JUANG, BH
RABINER, LR
TECHNOMETRICS, 1991, 33 (03) : 251 - 272
[22] Visual speech recognition using Active Shape Models and Hidden Markov Models
Luettin, J
Thacker, NA
Beet, SW
1996 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, CONFERENCE PROCEEDINGS, VOLS 1-6, 1996, : 817 - 820
[23] Visual speech recognition using motion features and hidden Markov models
Yau, Wai Chee
Kumar, Dinesh Kant
Weghorn, Hans
COMPUTER ANALYSIS OF IMAGES AND PATTERNS, PROCEEDINGS, 2007, 4673 : 832 - 839
[24] Telephone speech recognition using neural networks and hidden Markov models
Yuk, D
Flanagan, J
ICASSP '99: 1999 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS VOLS I-VI, 1999, : 157 - 160
[25] Speech recognition on an FPA using discrete and continuous hidden Markov models
Melnikoff, SJ
Quigley, SF
Russell, MJ
FIELD-PROGRAMMABLE LOGIC AND APPLICATIONS, PROCEEDINGS: RECONFIGURABLE COMPUTING IS GOING MAINSTREAM, 2002, 2438 : 202 - 211
[26] Stereophonic speech recognition in noise using compensated hidden Markov models
Brookes, DM
Leung, MH
ELECTRONICS LETTERS, 1998, 34 (19) : 1827 - 1829
[27] Speech recognition using hidden Markov models based on segmental statistics
Toyohashi Univ of Technology, Toyohashi, Japan
Syst Comput Jpn, 7 (31-38):
[28] Telephone speech recognition using neural networks and hidden Markov models
Yuk, DongSuk
Flanagan, James
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 1999, 1 : 157 - 160
[29] Rejection techniques in continuous speech recognition using hidden Markov models
1600, Publ by Elsevier Science Publishers B.V., Amsterdam, Neth
[30] SPEECH RECOGNITION USING HIDDEN MARKOV-MODELS - A CMU PERSPECTIVE
LEE, KF
HON, HW
HWANG, MY
HUANG, XD
SPEECH COMMUNICATION, 1990, 9 (5-6) : 497 - 508

← 1 2 3 4 5 →