Papers

Parametric-based non-intrusive speech quality assessment by deep neural network

International Conference
2016~2020
작성자
한혜원
작성일
2016-10-01 00:53
조회
325
Authors : Haemin Yang, Kyungguen Byun, Youngsu Kwak, Hong-Goo Kang

Year : 2016

Publisher / Conference : 21th International Conference on Digital Signal Processing (DSP)

This paper proposes a deep neural network (DNN) based non-intrusive speech quality estimation method in real-time voice communication systems. Since the proposed method only utilizes real-time control protocol (RTCP) information in the receiver side and does not need a reference signal, it is possible to continuously monitor the quality of service (QoS). Unlike the conventional non-intrusive E-model system that predicts QoS by utilizing delay, jitter, and type of codec with a rule-based method, the proposed method actively estimates the non-linear relationship between multi-dimensional parameters of RTCP and subjectively motivated reference scores using a DNN structure. In order to select efficient features, the relationship between each parameter of RTCP and perceptual objective listening quality assessment (POLQA) is thoroughly investigated, then we train the DNN model by changing the number of layers and nodes. The proposed algorithm achieved 0.8693 correlation with 21,206 reference POLQA scores that are sampled from real environment.
전체 327
7 International Conference Young-Sun Joo, Won-Suk Jun, Hong-Goo Kang "Efficient deep neural networks for speech synthesis using bottleneck features" in APSIPA, 2016
6 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
5 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
4 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
3 International Conference Eunwoo Song, Frank K. Soong, Hong-Goo Kang "Improved Time-Frequency Trajectory Excitation Vocoder for DNN-Based Speech Synthesis" in INTERSPEECH, 2016
2 International Conference Eunwoo Song, Hong-Goo Kang "Multi-class learning algorithm for deep neural network-based statistical parametric speech synthesis" in EUSIPCO, 2016
1 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