Papers

Deep Neural Network-Based Statistical Parametric Speech Synthesis System Using Improved Time-Frequency Trajectory Excitation Mo

International Conference
2011~2015
작성자
한혜원
작성일
2015-09-01 00:47
조회
1345
Authors : Eunwoo Song, Hong-Goo Kang

Year : 2015

Publisher / Conference : INTERSPEECH

This paper proposes a deep neural network (DNN)-based statistical parametric speech synthesis system using an improved time-frequency trajectory excitation (ITFTE) model. The ITFTE model, which efficiently reduces the parametric redundancy of a TFTE model, improved the perceptual quality of the vocoding process and the estimation accuracy of the training process. However, there remain problems related to training ITFTE parameters in a hidden Markov model (HMM) framework, such as inefficiency of representing cross-dimensional correlations between ITFTE parameters, over-smoothed outputs caused by statistical averaging, and an over-fitted model due to a decision tree-based state clustering paradigm. To alleviate these limitations, a centralized DNN replaces the decision trees of the HMM training process. Analysis of trainability confirms that the DNN training process improves the model accuracy, which results in improved perceptual quality of synthesized speech. Objective and subjective test results also verify that the proposed system performs better than the conventional HMM-based system.
전체 355
72 International Conference Il-eun Kwak, Hong-Goo Kang "Robust formant features for speaker verification in the lombard effect" in APSIPA, pp.114-118, 2015
71 International Journal Ho Seon Shin, Tim Fingscheidt, Hong-Goo Kang "A Priori SNR Estimation Using Air- and Bone-Conduction Microphones" in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.23, issue 11, pp.2015-2025, 2015
70 International Conference Hyeonjoo Kang, JeeSok Lee, Soonho Baek, Hong-Goo Kang "Systematic Integration of Acoustic Echo Canceller and Noise Reduction Modules for Voice Communication Systems" in INTERSPEECH, 2015
69 International Conference Kyungguen Byun, Eunwoo Song, Hong-goo Kang "A constrained two-layer compression technique for ECG waves" in Enegineering in Medicine and Biology Society (EMBC), 2015
68 International Conference Eunwoo Song, Hong-Goo Kang "Deep Neural Network-Based Statistical Parametric Speech Synthesis System Using Improved Time-Frequency Trajectory Excitation Mo" in INTERSPEECH, 2015
67 International Journal Taegyu Lee, Hyun Oh Oh, Jeongil Seo, Young-Cheol Park, Dae Hee Youn "Scalable Multiband Binaural Renderer for MPEG-H 3D Audio" in IEEE Journal of Selected Topics in Signal Processing, vol.9, issue 5, pp.907-920, 2015
66 International Conference Heejin Ahn, Eunwoo Song, Won-Suk Jun, Hong-goo Kang "A Compression Algorithms for Hidden Markov Model-Based Speech Synthesis Systems" in ITC-CSCC, pp.942-945, 2015
65 International Conference JeeSok Lee, Sejin Oh, Hong-Goo Kang "Coherent channel based subband multichannel dereverberation" in ICASSP, pp.2704-2708, 2015
64 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
63 Domestic Journal 박영철, 이태규, 윤대희 "MPEG-H 3D 오디오 바이노럴 렌더링 기술 표준화" in 대한전기학회, 전기의 세계, vol.64, 제 2호, pp.27-31, 2015