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
2683
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 367
90 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
89 International Conference Seung-chul Shin, Junhyung Moon, Saewon Kye, Kyoungwoo Lee, Yong Seung Lee, Hong-Goo Kang "Continuous bladder volume monitoring system for wearable applications" in EMBC, 2017
88 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
87 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
86 International Conference Young-Sun Joo, Won-Suk Jun, Hong-Goo Kang "Efficient deep neural networks for speech synthesis using bottleneck features" in APSIPA, 2016
85 International Conference Ji-ho Seo, Young-cheol Park, Dae Hee Youn "Design of feedback active noise control system based on a constrained optimization for headphone/earphone applications" in IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 2016
84 International Conference Haemin Yang, Kyungguen Byun, Youngsu Kwak, Hong-Goo Kang "Parametric-based non-intrusive speech quality assessment by deep neural network" in 21th International Conference on Digital Signal Processing (DSP), 2016
83 International Conference Jin-Seob Kim, Young-Sun Joo, Inseon Jang, ChungHyun Ahn, Jeongil Seo, Hong-Goo Kang "A pitch-synchronous speech analysis and synthesis method for DNN-SPSS system" in 21th International Conference on Digital Signal Processing (DSP), 2016
82 International Conference Eunwoo Song, Frank K. Soong, Hong-Goo Kang "Improved Time-Frequency Trajectory Excitation Vocoder for DNN-Based Speech Synthesis" in INTERSPEECH, 2016
81 International Conference Eunwoo Song, Hong-Goo Kang "Multi-class learning algorithm for deep neural network-based statistical parametric speech synthesis" in EUSIPCO, 2016