Voice recognition method facing specific crowd

Abstract

The invention discloses a voice recognition method facing a specific crowd. The method comprises the following steps of: first, sampling a voice signal and converting the voice signal to a digital signal from an analogue signal; then, pre-weighting, windowing, en-framing and performing front-end processing of endpoint detection on the digital voice signal; later on, performing feature extraction on the voice signal by adopting discrete wavelet transform; and finally, performing voice recognition on the feature-extracted voice signal by adopting a discrete hidden Markov model after training a sample. In the processes of performing the front-end processing and the feature extraction on the voice signal, spectrum features and pronunciation characteristics of different target crowds are fullytaken into consideration and the process of extracting voice information is optimized, so that a processing process and an information extracting process can be simplified; and therefore, recognitionprecision is ensured, simultaneously calculation amount and information storage capacity in the recognition process are greatly reduced, and the voice recognition on an embedded platform is realized.

Description

technical field [0001] The invention relates to the technical field of voice signal processing and recognition, in particular to a voice recognition method for specific target groups. Background technique [0002] Speech recognition is a technology that converts human voice signals into corresponding text or commands through the process of recognition and understanding by machines, that is, to translate voice signals into corresponding written language word by word, or to make correct requests and commands contained in voice. response. With the development of science and the popularization of computers, people have put forward higher requirements for the way of communication with computers. This promotes the development of speech recognition technology and makes it an important research direction in the field of speech processing. Speech recognition has broad application prospects, and its development, maturity and practicality will promote the rapid development of many in...

AI Technical Summary

Problems solved by technology

[0009] The current mainstream speech recognition technology is based on the theory of statistical pattern recognition. Due to the complexity of the algorithm and the large amount of calculation, it is generally completed by a PC, which undoubtedly limits its application in portable embedded devices.

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