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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, emotion-inspired age and gender recognition systems are developed. In the beginning, speakers' utterances with emotions of angry, happy, calm and sad are analyzed to identify their ages and genders where the recognition engine adopts a Support Vector Machine (SVM). According to the experimental results, the accuracies of the age and gender recognitions under a low arousal emotion tend...
The amount of multimedia sources from websites is extremely growing up every day. How to effectively search data and to find out what we need becomes a critical issue. In this work, four affective modes of exciting/happy, angry, sad and calm in songs and speeches are investigated. A song clip is partitioned into the main and refrain parts each of which is analyzed by the tempo, normalized intensity...
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