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
1362
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
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
80 International Conference Hyeongi Moon, Gyutae Park, Yeong-cheol Park, Dae Hee Youn "A Phase-Matched Exponential Harmonic Weighting for Improved Sensation of Virtual Bass" in 140th Convention of Audio Engineering Society, pp.9544, 2016
79 International Conference Il-eun Kwak, Hong-Goo Kang "Robust formant features for speaker verification in the lombard effect" in APSIPA, pp.114-118, 2015
78 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
77 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
76 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
75 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
74 International Conference JeeSok Lee, Sejin Oh, Hong-Goo Kang "Coherent channel based subband multichannel dereverberation" in ICASSP, pp.2704-2708, 2015
73 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