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Received:July 15, 2010 Revised:August 25, 2010
Received:July 15, 2010 Revised:August 25, 2010
中文摘要: 语音识别技术经过半个世纪的发展,目前已日趋成熟,其在语音拨号系统、数字遥控、工业控制等领域都有了广泛的应用。由于目前常用的声学模型和语言模型的局限性,计算机只能识别一些词汇或一些句子。语音识别系统在语种改变时,往往会出现错误的识别结果。针对上述问题,结合隐马尔可夫模型原理,在HTK语音处理工具箱的基础上构建了中英文特定词语音识别系统。该系统通过代码控制整个构建过程,使其在更换新的训练数据和词典后能快速生成对应的识别模型。
Abstract:Having developed about 50 years, the speech recognition (SR) technique has a wide range of applications in many fields, such as voice dialing system, digital remote control and industrial control. But the limitation of acoustic and language model is that the computer can only recognize some words or sentences. When the speech language changes, the system often gets wrong results. To address the problem above, the speech recognition system has been built on the basis of HTK as well as hidden markov model theory. Controlling the building process by code, the system can quickly generate a new recognition model when the training data and dictionary has changed.
keywords: speech recognition Hidden Markov model HTK
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曾妮,费洪晓,姜振飞.基于HTK 的特定词语音识别系统.计算机系统应用,2011,20(3):157-160
ZENG Ni,FEI Hong-Xiao,JIANG Zhen-Fei.Specific Speech Recognition System Based on HTK.COMPUTER SYSTEMS APPLICATIONS,2011,20(3):157-160
曾妮,费洪晓,姜振飞.基于HTK 的特定词语音识别系统.计算机系统应用,2011,20(3):157-160
ZENG Ni,FEI Hong-Xiao,JIANG Zhen-Fei.Specific Speech Recognition System Based on HTK.COMPUTER SYSTEMS APPLICATIONS,2011,20(3):157-160