新型车载语音识别系统中的一种关键技术

提出一种新型车载语音识别系统,采用帧能量与帧过零率的乘积作为指标量进行语音端点检测,以MFCC作为语音信号特征矢量,基于HMM语音识别模型进行语音识别。同时提出了一种新的抗噪语音识别方法,改进型重复Wiener滤波结合PUM模型进行抗噪语音识别,较好的抑制了噪声干扰,提高了语音识别率。

Key Techniques on a New Vehicular Speech Recognition System

This paper proposes a new vehicular speech recognition system,which uses the multiplication of the frame energy and frame zero-crossing rate as index quantity to test the speech activity,meanwhile,takes MFCC as speech signal feature vector,and recognizes speech based on HMM speech recognition model.In addition,a new method of anti-noise Speech Recognition is discussed in this article.Through Improved iterative wiener filters together with PUM model,the new method can be more effective to suppress noise interference and improve speech recognition rate.