A LinkedMM for Robust Voicing and Speech Detection链接的HMM鲁棒语音和语音检测.pptVIP

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A LinkedMM for Robust Voicing and Speech Detection链接的HMM鲁棒语音和语音检测.ppt

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A LinkedMM for Robust Voicing and Speech Detection链接的HMM鲁棒语音和语音检测

A Linked-HMM for Robust Voicing and Speech Detection Presented by: Emiliano Miluzzo why the mic is important as a sensor for a people-centric sensing approach? In few words… Linked-HMM for simultaneous and robust voicing and speech detection In few words… Linked-HMM for simultaneous and robust voicing and speech detection Targeting different experimental settings: low-sampling rates, far-field mic, ambient noise. In few words… Linked-HMM for simultaneous and robust voicing and speech detection Targeting different experimental settings: low-sampling rates, far-field mic, ambient noise. Features independent of energy. In few words… Linked-HMM for simultaneous and robust voicing and speech detection Targeting different experimental settings: low-sampling rates, far-field mic, ambient noise. Features independent of energy. Exploit speech patterns, usually combinations of talking and silence segments. What’s nice about the paper The first paper presenting the application of linked-HMM for speech and voice detection. What’s nice about the paper The first paper presenting the application of linked-HMM for speech and voice detection. “simple” algorithm: forward-backward algorithm, features extraction What’s nice about the paper The first paper presenting the application of linked-HMM for speech and voice detection. “simple” algorithm: forward-backward algorithm, features extraction. Experimental evaluation of some of the aspects of the proposed algorithms. What’s nice about the paper The first paper presenting the application of linked-HMM for speech and voice detection. “simple” algorithm: forward-backward algorithm, features extraction. Experimental evaluation of some of the aspects of the proposed algorithms. I learned something useful, namely how to get rid of the impact of constant source contribution (fan, wind blowing, etc.). ? How about the cons? Fairly dense of concepts for a short paper. How about the cons? Fairly dense of concepts for a short pa