IMPROVEMENT OF SPEECH RECOGNITION USING COMBINATION OF LEXICAL KNOWLEDGE WITH FEATURE PARAMETERS

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YAZDCHI M.R.; SEYYEDSALEHI S.A.; ALMASGANJ F.

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Paper Information

Journal: THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING Year:2005 | Volume:3 | Issue:3 (A) Page(s): 13-22

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Title

IMPROVEMENT OF SPEECH RECOGNITION USING COMBINATION OF LEXICAL KNOWLEDGE WITH FEATURE PARAMETERS

Author(s)

YAZDCHI M.R. | SEYYEDSALEHI S.A. | ALMASGANJ F. | Issue Writer Certificate

Keywords

SPEECH RECOGNITIONQ2

NLPCA NEURAL NETWORKQ4

INVERSION OF NEURAL NETWORKSQ4

BIDIRECTIONAL NEURAL NETWORKSQ4

LEXICAL MODELINGQ4

Abstract

The high ability of humans in speech perception encourages the use of functional finding of brain in SPEECH RECOGNITION. In this research, lexical models are created by using the INVERSION OF NEURAL NETWORKS and the NLPCA NEURAL NETWORKs. These models can increase the phoneme correction rate up to 81%. We increase the correction rate by combining the lexical model with feature parameters. In this way, by two methods of neural network inversion, feature parameters can be improved, resulting in a correction rate of about 82.4%.

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APA: Copy

YAZDCHI, M.R., SEYYEDSALEHI, S.A., & ALMASGANJ, F.. (2005). IMPROVEMENT OF SPEECH RECOGNITION USING COMBINATION OF LEXICAL KNOWLEDGE WITH FEATURE PARAMETERS. THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING, 3(3 (A)), 13-22. SID. https://sid.ir/paper/70670/en

Vancouver: Copy

YAZDCHI M.R., SEYYEDSALEHI S.A., ALMASGANJ F.. IMPROVEMENT OF SPEECH RECOGNITION USING COMBINATION OF LEXICAL KNOWLEDGE WITH FEATURE PARAMETERS. THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING[Internet]. 2005;3(3 (A)):13-22. Available from: https://sid.ir/paper/70670/en

IEEE: Copy

M.R. YAZDCHI, S.A. SEYYEDSALEHI, and F. ALMASGANJ, “IMPROVEMENT OF SPEECH RECOGNITION USING COMBINATION OF LEXICAL KNOWLEDGE WITH FEATURE PARAMETERS,” THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING, vol. 3, no. 3 (A), pp. 13–22, 2005, [Online]. Available: https://sid.ir/paper/70670/en

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