| Auditory—Spectrum Quantization Based Speech Recognition |
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| 引用本文： | WuYuanqing HaoJie 等. Auditory—Spectrum Quantization Based Speech Recognition[J]. 通信学报, 1997, 18(3): 26-34 |
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| 作者姓名： | WuYuanqing HaoJie 等 |
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| 作者单位： | Department of Electronic Engineering，Tsinghua University，Beijing 100084 |
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| 摘 要： | Ａｕｄｉｔｏｒｙ┐ＳｐｅｃｔｒｕｍＱｕａｎｔｉｚａｔｉｏｎＢａｓｅｄＳｐｅｅｃｈＲｅｃｏｇｎｉｔｉｏｎＷｕＹｕａｎｑｉｎｇＨａｏＪｉｅＬｕＤａｊｉｎＬｉＸｉｎｇＺｈｕＸｕｅｌｏｎｇ（ＤｅｐａｒｔｍｅｎｔｏｆＥｌｅｃｔｒｏｎｉｃＥｎｇｉｎｅｅｒｉｎｇ，...
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| 关 键 词： | 语音识别 电磁波谱 量化 自适应滤波器 |
Auditory Spectrum Quantization Based Speech Recognition |
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| Wu Yuanqing Hao Jie Lu Dajin Li Xing Zhu Xuelong. Auditory Spectrum Quantization Based Speech Recognition[J]. Journal on Communications, 1997, 18(3): 26-34 |
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| Authors: | Wu Yuanqing Hao Jie Lu Dajin Li Xing Zhu Xuelong |
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| Affiliation: | [1]DepartmentofElectronicEngineering,TsinghuaUniversity,Beijing100084 [2]DepartmentofElectronicEngineering, |
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| Abstract: | Based on the analysis of the physiological and psychological characteristics of human auditory system^[1],we can classify human auditory process into two hearing modes:active one and passive one.A novel approach of robust speech recognition,Auditory-spectrum Quantization Based Speech Recognition(AQBSR),is proposed.In this method,we intend to simulate human active hearing mode and locate the effective areas of speech signals in temporal domain and in frequency domain.Adaptive filter banks are used in place of fixed-band filters to extract feature parameters.The effective speech components and their corresponding frequency areas of each word in the vocabulary can be found out during training.In recognition stage,comparison between the unknown sound and the current template is maintained only in the effective areas of the template word.The control experiments show that the AQ BSR method is more robust than traditional systems. |
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| Keywords: | auditory spectrum quantization adaptive filter banks robust speech recognition |
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