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1)  overlapping speech
混叠语音
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.
This paper puts up a method suitable for multi pitch detecting under overlapping speech signals environment.
本文提出了一种在混叠语音信号中检测各自语音分量基音信息的方法 。
3.
From the ideas of computational auditory scene analysis, this paper studies how to pick out the independent pitches and harmonics of each source from the overlapping speech signals.
从计算声场景思想出发,研究了如何从混叠语音中提取各源信号基音及谐波分量的方法,在此基础上根据语音信号正弦模型重建各语音分量,从而实现混叠语音分离。
2)  pitch of concurrent speech signals
混叠语音基频
3)  Noisy speech mixtures
带噪混叠语音
4)  Separation of Overlapping Speech
混叠语音分离
1.
Separation of Overlapping Speech Based on Computational Auditory Scene Analysis;
基于计算声场景分析的混叠语音分离研究
5)  Voice Mixed Technology
语音混叠技术
6)  Underdetermined speech separation
欠定混叠语音盲分离
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