1) speech extraction
语音提取
1.
Bimodal speech extraction method based on particle filtering;
一种基于粒子滤波的双模态语音提取方法
2) speech feature extraction
语音特征提取
1.
In order to express dynamic characteristic for speech,feature difference and multi-frames speech feature extraction based on association relationship of lip frames are introduced.
针对人脸语音动画提出了基于小波包分析的语音特征提取算法,为了表征语音的动态特性,采用了特征差分和基于口形帧前后关联的多帧语音特征提取,并利用主成分分析(Principle Component Analysis,PCA)降低了输入语音的特征维数。
3) Audio Parameter Extract
语音参数提取
4) sensitive speech extraction
敏感语音提取
1.
On condition of pure sound,this paper put forward a sensitive speech extraction based on short-time Fourier transform,which used three FIR digital filter extract sensitive speech in different frequency range.
在纯净语音条件下,提出了一种基于短时傅里叶变换的敏感语音提取,该提取利用3种FIR数字滤波器对纯净语音在不同频率范围的特征语音进行选取,从而产生不同的音效。
5) pitch detection
基音提取
1.
Wavelet transform is very effective for picking up the pitch detection from a single source,but there is no effective way to obtain the pitch information from the pitch detection in overlapping speech with multi-sources.
小波变换对单一信号源的基音提取非常有效,但在多音源混叠语音的基音提取中则无法有效地获得基音信息。
2.
The continuous Chinese tone of three syllabic word is very complicated and its pitch detection is more difficult than that of isolated word because of the effects of vocal response,syllable conjunction,coarticulation and tone sandhi.
连续的汉语三字词声调 ,由于受声道响应、音联、协同发音和变调规律等的影响 ,情况很复杂 ,故其基音提取远远较孤立字困难。
3.
An approach of the pitch detection for obtaining speech tone of Chinese trisyllabic words on the basis of the wavelet transforms is proposed .
给出了一种基于小波变换的汉语三字词基音提取方法。
补充资料：耳语音
耳语音
参见"听觉语音"。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条