Speech and Sound Analysis: an Application of Probabilistic Models
نویسندگان
چکیده
Sound signal carry rich information which can be extracted and used by analysis systems in different modes. The medical remote monitoring systems may help elderly people to live home in security. We have already proposed an environmental sound analysis algorithm to detect distress sound or sentences. The sound and speech recognition modules based on Gaussian Mixture Models and Hidden Markov Models are detailed. A real time implementation on an embedded PC is proposed and evaluated. This implementation is flexible either for the hardware target (desktop, laptop or embedded PC) or on the alarm sending (E-Mail, SMS or remote monitoring center).
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