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1)  dysphonia recognition
病态嗓声识别
1.
In order to improve the performance of dysphonia recognition,27 common used original acoustic feature parameters were optimized and analyzed by using the method of primary components analysis(PCA).
为提高病态嗓声识别效率,本研究首次采用主分量分析方法对目前常用的27个嗓声特征参数进行了优化分析,考察了仅用少数主分量参数的识别效果及其分量数对结果的影响;同时根据参数对病态嗓声信息敏感程度,使用正交试验法优选出9个较优特征参数,其识别率即可达到原27个参数的识别结果。
2)  pathological voice
病态嗓音
1.
Research of extracting pathological voice s characteristics based on HHT And recognition;
基于HHT变换的病态嗓音特征提取及识别研究
2.
The Research of Extracting of Pathological Voice s Characteristics and Recognition Based on Wavelet Transformation and Gaussian Mixture Model;
基于小波变换和GMM的病态嗓音特征提取及识别研究
3.
The Research of Extracting Pathological Voice s Characteristics Based on HHT and Recognition;
基于HHT变换的病态嗓音特征提取及识别研究
3)  pathological vocal detection
病态语音识别
1.
Application of modified wavelet features and multi-class SVM to pathological vocal detection;
基于小波特征和多类支持向量机的病态语音识别方法
4)  Voiceprint Recognition
声纹识别
1.
Application of Voiceprint Recognition in Judicature;
声纹识别在司法身份鉴定中的应用
2.
Voiceprint Recognition Technology and It s Application in Forensic Expertise;
声纹识别技术及其在司法鉴定中的应用
3.
A voiceprint recognition system without any reference to text,language and sex is described.
介绍一个与文本无关、与语种无关、与性别无关的声纹识别系统 ,采用的技术包括MFCC特征提取、VQ矢量量化、LBG聚类建模、数据有效性距离测度和计算机深层编程等 ,在字表大小为 5 0人以内时识别率接近 10 0 % 。
5)  Noise Recognition
噪声识别
1.
Taking noise recognition and noise reduction of traffic volume time series which are commonly used traffic data as example,several experimental results are illustrated.
以常用的交通数据———交通量时间序列的实测数据为例,给出多个噪声识别及消噪预处理的实验结果。
6)  Noise sources identification
声源识别
1.
In this paper near-field acoustic holography (NAH) is introduced into noise sources identification and localization, The theoretical analysis and the numerical simulation of different kinds of noise sources show: that in the case of complex sound sources, they can be identified and localized correctly, moreover, their vibration amplitude can be recognized very well.
将近场声全息(NAH)用于噪声源的识别和定位,对不同类型噪声源的数值模拟结果和理论分析表明:对于复杂声源,采用近场声全息方法可以精确地定位噪声源,并且能很好地分辨出各噪声源振幅的强弱;在波数域加窗滤波后,声压测量的误差对声源识别结果的影响不大。
补充资料:挠喉捩嗓
1.谓违腔走调﹐不合声律。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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