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- W2383175599 abstract "In order to solve the problem of limited number of bits in low bit rate speech coding,an algorithm using second-order Hidden Markov Model(HMM2) to recover the voiced/unvoiced parameters is proposed in this paper.The algorithm uses the normalized energy and linear prediction coding(LPC) coefficients to estimate the full-band V/U classification and the sub-band BPVC value.The algorithm can be implemented in the decoder,saving the bits originally used by V/U parameters and reducing the bit rate of speech coding.Experimental results show that the algorithm proposed can reduce the V/U classification error rate by 5%～20% compared with the GMM algorithm,and improve the mean opinion score(MOS) of the synthesized speech signal by about 0.03 compared with the 5bit vector quantization(VQ),thereby greatly improves the estimation performance of the V/U parameters." @default.
- W2383175599 created "2016-06-24" @default.
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- W2383175599 date "2011-01-01" @default.
- W2383175599 modified "2023-09-28" @default.
- W2383175599 title "Voiced/Unvoiced Parameters Recovery Based on Second-Order Hidden Markov Model" @default.
- W2383175599 hasPublicationYear "2011" @default.
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