昆明学院学报
昆明學院學報
곤명학원학보
JOURNAL OF KUNMING UNIVERSITY
2011年
3期
53-54,67
,共3页
语音识别%端点检测%特征提取%差分商
語音識彆%耑點檢測%特徵提取%差分商
어음식별%단점검측%특정제취%차분상
speech recognition%endpoint detection%feature extraction%differential quotient
语音识别中的端点检测技术是语音识别的基础,低信噪比环境下的端点检测很大程度决定语音识别工作的有效进行.提出了一种利用一阶有限差分商结合折半查找来判定语音端点检测的方法,提高了端点检测的准确率.仿真实验表明,在噪声环境下该方法较好地实现了语音端点检测.
語音識彆中的耑點檢測技術是語音識彆的基礎,低信譟比環境下的耑點檢測很大程度決定語音識彆工作的有效進行.提齣瞭一種利用一階有限差分商結閤摺半查找來判定語音耑點檢測的方法,提高瞭耑點檢測的準確率.倣真實驗錶明,在譟聲環境下該方法較好地實現瞭語音耑點檢測.
어음식별중적단점검측기술시어음식별적기출,저신조비배경하적단점검측흔대정도결정어음식별공작적유효진행.제출료일충이용일계유한차분상결합절반사조래판정어음단점검측적방법,제고료단점검측적준학솔.방진실험표명,재조성배경하해방법교호지실현료어음단점검측.
Endpoint detection of speech recognition technology is the basis of voice recognition,endpoint detection with low SNR environment determined largely the work of speech recognition can be conducted effectively.This paper presents a method based on first-order finite differential quotient with a binary search to determine the endpoint detection;it improves the accuracy of endpoint detection.The emulate experiments show the proposed method can achieve better voice activity detection in a noisy environment.