西藏大学学报
西藏大學學報
서장대학학보
Journal of Tibet University
2014年
2期
54~58
,共null页
藏语语音 端点检测 加窗 短时能量 过零率
藏語語音 耑點檢測 加窗 短時能量 過零率
장어어음 단점검측 가창 단시능량 과령솔
Tibetan speech;endpoint detection;windowing;short-time energy;zero crossing rate
藏语语音识别技术研究已成为当今一大热点,而端点检测则是语音识别预处理阶段的关键环节之一。文章以标准拉萨藏语为对象,通过将加窗、短时能量和过零率相结合的方法对藏语语音识别技术中端点检测的算法进行了研究。实验表明,采用上述三种算法相结合的研究方法对浊音较重的藏语语音识别较为合适,可显著提高识别率。
藏語語音識彆技術研究已成為噹今一大熱點,而耑點檢測則是語音識彆預處理階段的關鍵環節之一。文章以標準拉薩藏語為對象,通過將加窗、短時能量和過零率相結閤的方法對藏語語音識彆技術中耑點檢測的算法進行瞭研究。實驗錶明,採用上述三種算法相結閤的研究方法對濁音較重的藏語語音識彆較為閤適,可顯著提高識彆率。
장어어음식별기술연구이성위당금일대열점,이단점검측칙시어음식별예처리계단적관건배절지일。문장이표준랍살장어위대상,통과장가창、단시능량화과령솔상결합적방법대장어어음식별기술중단점검측적산법진행료연구。실험표명,채용상술삼충산법상결합적연구방법대탁음교중적장어어음식별교위합괄,가현저제고식별솔。
Research on Tibetan speech recognition technology has become a hot research topic of today. Theendpoint detection is one of the key parts in speech recognition preprocessing stage. In the present paper, theendpoint detection algorithm of Tibetan speech recognition was discussed based on Lhasa dialect of Tibetan lan-guage by windowing combining with short-time energy and zero crossing rate methods. The results of this studyshowed that the combination of the three algorithms is more appropriate method for recognizing the heavier so-nant Tibetan speech and obviously improving the recognition rate.
