| 一种基于非线性特征的应力影响下变异语音识别方法 |
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| 引用本文： | 王玉伟,张磊,韩纪庆. 一种基于非线性特征的应力影响下变异语音识别方法[J]. 信号处理, 2002, 18(5): 484-486 |
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| 作者姓名： | 王玉伟 张磊 韩纪庆 |
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| 作者单位： | 哈尔滨工业大学计算机科学与工程系,哈尔滨,150001 |
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| 基金项目： | 国家自然科学基金资助项目（项目批准号:60085001），教育部留学回国人员科研启动基金资助项目 |
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| 摘 要： | 考虑到变异语音产生的非线性特点,本文提出了一种基于TEO能量算子倒谱特征的应力影响下变异语音识别方法。先将语音信号分割成21个不同频带的信号,然后计算TEO能量,最后进行对数运算和离散余弦变换。对航空模拟飞行器中采集的小词表特定人的识别实验,采用非线性分析的基于TEO能量算子倒谱特征的方法,能有效地提高变异语音的识别性能,比传统的基于MFCC特征的方法识别率提高了11.3％。
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| 关 键 词： | 语音识别 变异语音 应力 TEO（Teager Energy Operator） 非线性特征 |
| 修稿时间： | 2002-03-25 |
A Method of Recognition of Stressed Speech under G-force Based on Nonlinear Features |
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| Wang Yuwei Zhang Lei Han Jiqing. A Method of Recognition of Stressed Speech under G-force Based on Nonlinear Features[J]. Signal Processing(China), 2002, 18(5): 484-486 |
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| Authors: | Wang Yuwei Zhang Lei Han Jiqing |
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| Abstract: | On the basis of nonlinear feature of the stressed speech, an approach of TEO based cepstrum coefficients (TEOCEP) is proposed for recognition of speech under G-Force, in which the speech signal is first divided into 21 subbands, and then the TEO energies are estimated. Finally, the TEOCEP feature is obtained by using log-compression and discrete cosine transform (DCT) on the estimated TEO energies. For recognition experiments of speaker dependent, small vocabulary and stressed speech collected in an aero-flight simulator, the proposed method gets an improvement of 11.3% over the method of using traditional linear MFCC feature. |
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| Keywords: | Speech Recognition Stressed Speech G-Force TEO (Teager Energy Operator) Nonlinear Feature |
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