期刊文献+

分布式语音识别的前端处理及相关标准

Front end Processing of Distributed Speech Recognition and Related Stan dards
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摘要 语音识别在实际应用中受到信道噪声和便携终端计算、存储能力不足等因素制约。分布式语音识别(DSR)不仅解决了上述的问题,还有占用带宽窄、综合成本低等优点,但其应用的前提是提取的参数必须标准化。文中介绍了分布式语音识别前端处理的基本结构以及相关标准。 In practice,the performance of speech recognition is limited by such factors as channel noise and insufficient computational power and memory size in portable terminals.Dis-tributed speech recognition(DSR)can not only solve those problems but also provides such merits as narrow bandwidth and low cost.However the precondition for its application is the standardiza-tion of the extracted feature parameters.Front end processing of distributed speech recognition and related standards are described in this paper.
出处 《电声技术》 北大核心 2002年第5期4-7,共4页 Audio Engineering
基金 广东省自然科学基金资助项目(000872)
关键词 分布式语音识别 前端处理 标准 信道噪声 存储 DSR distributed speech recognition front end processing standard
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参考文献6

  • 1[1]European Telecommunication Standards Institute. ETSI ES 201 108 vl.l.2 Distributed Speech Recognition;Front-end Feature Extraction Algorithm; Compression Algorithm, http://pda.etsi.org/pda/home.asp?wki_id =9948. 2000.
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