Systems and Computers in Japan
Systems and Computers in Japan · 2006
This paper proposes a method for vector quantization of mel-cepstral coefficients based on a measure for spectral analysis.It is a method in which the match between the input signal within the frame and the mel-cepstral coefficients stored in the codebook is evaluated by using a statistical measure for spectral analysis, and the quantized mel-cepstral coefficients are derived.The codebook training algorithm for the proposed method is also presented.The proposed method is further applied to multistage vector quantization.It is shown by an experiment using a speech database that the proposed method with a codebook size of 9 bits can achieve the same quantization distortion as the conventional 12-bit method (vector quantization based on Euclidean distance between mel-cepstral coefficients).