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This work proposes a voice-activity home care system which can construct a life log associated with voices at home. Accordingly, the techniques of sound-pressure-level calculation, abnormal sound detection, noise reduction, text-independent speaker recognition and keyword spotting are developed. In abnormal sound detection and speaker recognition, we adopt the two-stage recognition processes of Gaussian...
In this work, a typical hierarchical Support Vector Machine (SVM) classifier structure with three stages is adopted to identify 6 affective modes of happy, angry, excited, nervous, sad and calm from Musical TeleVision (MTV) sequences, which comprise audio and video signals. To comprehend emotional modes, audio features including the spectral centroid, spectral spread, zero crossing rate, peak of zero...
In this work, a gender-to-age hierarchical analysis structure is proposed rather than directly classifying speech clips into gender and age categories. A two-stage Support Vector Machine (SVM) classifier is adopted to identify a female and male, and then conduct an age classification. To realize the gender recognition, the mean of the fundamental frequency and the standard deviation of the fast Fourier...
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