Papers

Multi-class learning algorithm for deep neural network-based statistical parametric speech synthesis

International Conference
2016~2020
작성자
한혜원
작성일
2016-08-01 16:23
조회
1424
Authors : Eunwoo Song, Hong-Goo Kang

Year : 2016

Publisher / Conference : EUSIPCO

This paper proposes a multi-class learning (MCL) algorithm for a deep neural network (DNN)-based statistical parametric speech synthesis (SPSS) system. Although the DNN-based SPSS system improves the modeling accuracy of statistical parameters, its synthesized speech is often muffled because the training process only considers the global characteristics of the entire set of training data, but does not explicitly consider any local variations. We introduce a DNN-based context clustering algorithm that implicitly divides the training data into several classes, and train them via a shared hidden layer-based MCL algorithm. Since the proposed MCL method efficiently models both the universal and class-dependent characteristics of various phonetic information, it not only avoids the model over-fitting problem but also reduces the over-smoothing effect. Objective and subjective test results also verify that the proposed algorithm performs much better than the conventional method.
전체 356
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
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