نوع مقاله : مقاله پژوهشی
نویسنده
پژوهشگاه ارتباطات و فناوری اطلاعات
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسنده [English]
This paper presents a new estimator for the speech enhancement using codebook. Codebook-based speech enhancement method separates the noise and speech from each other and synthesizes the enhanced speech signal by optimally selecting the speech codebook indexes. This method can enhance the noisy speech with signal to noise ratio of less than zero decibel. In this method it is very important to select the correct codebook indexes. Therefore, in this paper, the maximum likelihood estimator is proposed for speech and noise by applying auditory quality-enhancing weights. The relation of this estimator is also used as a distance function in the design of codebooks. This method is simulated for different speakers and noises. The results show the proposed maximum likelihood estimator leads to better speech enhancement than the euclidean distance estimator. The proposed method is also more successful in dealing with non-stationary or stationary noises and negative or positive SNRs than other methods. The cost of the superior quality enhancement in this method is the requirement to a relatively time-consuming signal processing.
کلیدواژهها [English]
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