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2009•Journal of Hunan University of Science and EngineeringRequires access

Design and Implementation of the Speaker-Independent Speech Recognition System

Zang Wen-zhao

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Abstract

This paper has established a speaker-independent speech recognition system based on HMM algorithm. It also introduces its realization course including the pretreatment, the characteristic parametric extracting, and the template matching. Besides, the system is simulated using the MATLAB6.5 software. The simulation results indicate that this system can implement the speaker-independent command recognition and the recognition rate is about 88.6%.

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What this paper is about

This paper has established a speaker-independent speech recognition system based on HMM algorithm. It also introduces its realization course including the pretreatment, the characteristic parametric extracting, and the template matching. Besides, the system is simulated using the MATLAB6.5 software. The simulation results indicate that this system can implement the speaker-independent command recognition and the recognition rate is about 88.6%.

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Available abstract

This paper has established a speaker-independent speech recognition system based on HMM algorithm. It also introduces its realization course including the pretreatment, the characteristic parametric extracting, and the template matching. Besides, the system is simulated using the MATLAB6.5 software. The simulation results indicate that this system can implement the speaker-independent command recognition and the recognition rate is about 88.6%.

Key concepts: Speech recognition, Realization (probability), Speaker recognition, Computer science, Hidden Markov model, Matching (statistics), Parametric statistics, Software

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