Papers

Perceptual quality and modeling accuracy of excitation parameters in DLSTM-based speech synthesis systems

International Conference
2016~2020
작성자
한혜원
작성일
2017-12-01 16:38
조회
338
Authors : Eunwoo Song, Frank K. Soong, Hong-Goo Kang

Year : 2017

Publisher / Conference : ASRU

This paper investigates how the perceptual quality of the synthesized speech is affected by reconstruction errors in excitation signals generated by a deep learning-based statistical model. In this framework, the excitation signal obtained by an LPC inverse filter is first decomposed into harmonic and noise components using an improved time-frequency trajectory excitation (ITFTE) scheme, then they are trained and generated by a deep long short-term memory (DLSTM)-based speech synthesis system. By controlling the parametric dimension of the ITFTE vocoder, we analyze the impact of the harmonic and noise components to the perceptual quality of the synthesized speech. Both objective and subjective experimental results confirm that the maximum perceptually allowable spectral distortion for the harmonic spectrum of the generated excitation is ~0.08 dB. On the other hand, the absolute spectral distortion in the noise components is meaningless, and only the spectral envelope is relevant to the perceptual quality.
전체 327
17 International Conference Hyewon Han, Kyungguen Byun, Hong-Goo Kang "A Deep Learning-based Stress Detection Algorithm with Speech Signal" in Workshop on Audio-Visual Scene Understanding for Immersive Multimedia (AVSU’18), 2018
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11 International Conference Eunwoo Song, Frank K. Soong, Hong-Goo Kang "Perceptual quality and modeling accuracy of excitation parameters in DLSTM-based speech synthesis systems" in ASRU, 2017
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9 International Conference Jinkyu Lee, Keulbit Kim, Turaj Shabestary, Hong-Goo Kang "Deep bi-directional long short-term memory based speech enhancement for wind noise reduction" in HSCMA, 2017
8 International Conference JeeSok Lee, Soo-Whan Chung, Min-Seok Choi, Hong-Goo Kang "A study on search grid points for data-driven 3-D beamsteering" in HSCMA, 2017