Robust speech recognition method and system based on speech enhancement and improved PNSC

Abstract

The invention relates to a robust speech recognition method and system based on speech enhancement and improved PNSC. Speech signals are obtained through a microphone, speech enhancement and feature extraction are carried out on the speech signals after the speech signals are preprocessed, and in a signal space, enhancement is carried out by means of a speech enhancement algorithm combining the auditory masking effect and a priori signal-to-noise ratio; in a feature space, feature values of the speech signals are extracted more accurately by means of a feature extraction algorithm improving perception non-uniform spectral compression, the speech signals are trained and recognized through a dynamic time wrapping algorithm, a speech recognition result is converted into a bottom layer drive instruction of an intelligent wheelchair, a corresponding control function is called, and the intelligent wheelchair is driven to move according to the speech signals. By means of the method and system, the recognition rate of the system in a noise environment is increased, precise control over the intelligent wheelchair is achieved, the aim of achieving speech interaction between a user and the intelligent wheelchair is achieved, and the method has good universality in a specific human speech recognition system.

Description

technical field [0001] The invention belongs to the technical field of robust speech recognition control, and relates to a robust speech recognition method and system based on speech enhancement and improved PNSC. Background technique [0002] With the development of society and the improvement of human civilization, the demand for services for the elderly and the disabled will increase. They need to use modern high-tech to improve their quality of life and freedom of life. The aging process of the world's population is accelerating. In addition, due to various traffic accidents, natural and man-made disasters and various diseases, thousands of people lose one or more abilities (such as walking, hands-on ability, etc.) every year. The reality has promoted the application of barrier-free technology in helping the elderly and the disabled. Therefore, barrier-free technology has become a research hotspot for domestic and foreign scientific and technological personnel. [0003...

AI Technical Summary

Problems solved by technology

[0006] In view of the unsatisfactory recognition effect of the existing speech recognition in the noise environment, and in the signal space, the traditional spectral subtraction speech enhancement has the disadvantage of "music noise", and proposes a speech that combines the auditory masking effect and the prior signal-to-noise ratio Enhanced algorithm; in the feature space, for the problem that the feature extraction algorithm of Perceptually Non-uniform Spectral Compression (PNSC) cannot more accurately extract the eigenvalues ​​of noisy speech signals, a feature extraction method for improving Perceptually Non-uniform Spectral Compression is proposed algorithm

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