Papers

Improved time-frequency trajectory excitation modeling for a statistical parametric speech synthesis system

International Conference
2011~2015
작성자
한혜원
작성일
2015-04-01 00:45
조회
421
Authors : Eunwoo Song, Young-Sun Joo, Hong-Goo Kang

Year : 2015

Publisher / Conference : ICASSP

This paper proposes an improved time-frequency trajectory excitation (TFTE) modeling method for a statistical parametric speech synthesis system. The proposed approach overcomes the dimensional variation problem of the training process caused by the inherent nature of the pitch-dependent analysis paradigm. By reducing the redundancies of the parameters using predicted average block coefficients (PABC), the proposed algorithm efficiently models excitation, even if its dimension is varied. Objective and subjective test results verify that the proposed algorithm provides not only robustness to the training process but also naturalness to the synthesized speech.
전체 326
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22 International Conference Eunwoo Song, Young-Sun Joo, Hong-Goo Kang "Improved time-frequency trajectory excitation modeling for a statistical parametric speech synthesis system" in ICASSP, 2015
21 International Conference Eunwoo Song, Hong-Goo Kang, Joonil Lee "Fixed-point implementation of MPEG-D unified speech and audio coding decoder" in 19th International Conference on Digital Signal Processing (DSP), pp.110-113, 2014
20 International Conference Soonho Baek, Hong-Goo Kang "Mean normalization of power function based cepstral coefficients for robust speech recognition in noisy environment" in ICASSP, 2014
19 International Conference Ho Seon Shin, Hong-Goo Kang "Bone-Conduction Speech Enhancement using a Speaker-Independent Filter" in ICEIC, 2014