Papers

A Compression Algorithms for Hidden Markov Model-Based Speech Synthesis Systems

International Conference
2011~2015
작성자
한혜원
작성일
2015-06-01 00:51
조회
5966
Authors : Heejin Ahn, Eunwoo Song, Won-Suk Jun, Hong-goo Kang
Year : 2015
Publisher / Conference : ITC-CSCC
Page : 942-945
This paper proposes an efficient way of compressing parameters needed for hidden Markov model (HMM)-based statistical parametric speech synthesis (SPSS) systems. By analyzing the statistical characteristics of HMM model parameters, this paper proposes various quantization methods to minimize the footprint of HMM model parameters. Subjective and objective test results verify that the proposed algorithm not only reduces the memory size, but also maintains the perceptual quality of synthesized speech.
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