CAJ | 학술논문

语音识别指利用计算机识别语音信号所表达的内容，其目的是要准确地理解语音所蕴含的含义。本文着重研究了语音识别实现过程的特征提取，针对特征提取的多种方法，选用LPC倒谱系数作为特征参数提取，较彻底地去除了语音信号产生过程的激励信息，主要反映了声道模型，而且只需十几个倒谱系数就较好地描述了语音的共振峰特性。通过对语音信号进行预加重、分帧、加窗、自相关分析，而后提取出LPC倒谱系数。根据流程编写VC程序，对语音信号进行分析处理，去除对语音识别无关紧要的冗余信息，从而获得用于语音识别的重要信息。
어음식별지이용계산궤식별어음신호소표체적내용，기목적시요준학지리해어음소온함적함의。본문착중연구료어음식별실현과정적특정제취，침대특정제취적다충방법，선용LPC도보계수작위특정삼수제취，교철저지거제료어음신호산생과정적격려신식，주요반영료성도모형，이차지수십궤개도보계수취교호지묘술료어음적공진봉특성。통과대어음신호진행예가중、분정、가창、자상관분석，이후제취출LPC도보계수。근거류정편사VC정서，대어음신호진행분석처리，거제대어음식별무관긴요적용여신식，종이획득용우어음식별적중요신식。
The speech recognition adopts the computer technology to recognize the contents of the speech signal, its purpose is to comprehend the meaning of speech accurately. The paper focuses on the feature extracting of speech recognition; aims at various feature draw methods, it selects LPCC as the extracted feature parameter to exclude thoroughly encourage information which produced in the speech signal creating process. It also represents mainly the sound track model, only more than a dozen LPCCs are needed for a better de- scription of the resonance peak property of speech. Through pre-aggravating, dividing frames, adding windows and self-correlated analy- zing,the LPCCs could be extracted. Program according to process in VC is analyzed, the speech signal is handled, and the insignificant and redundancy information for speech recognition is excluded, then gets the important information which could be.used in speech recognition.