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
329
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
257 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
256 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
255 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
254 International Conference Eunwoo Song, Frank K. Soong, Hong-Goo Kang "Improved Time-Frequency Trajectory Excitation Vocoder for DNN-Based Speech Synthesis" in INTERSPEECH, 2016
253 Domestic Conference Hyeonjoo Kang, Young-sun Joo, Wonsuk Jun, Hong-goo Kang "다층신경망 기반 다중 화자 음성변환 시스템" in 한국음향학회 제 33회 음성통신 및 신호처리 학술대회, 2016
252 International Conference Eunwoo Song, Hong-Goo Kang "Multi-class learning algorithm for deep neural network-based statistical parametric speech synthesis" in EUSIPCO, 2016
251 Domestic Conference Min-jae Hwang, JeeSok Lee, Misuk Lee, and Hong-Goo Kang "사전 분석법을 통한 스프레드 스펙트럼 기반 오디오 워터마킹 알고리즘의 성능 향상" in 한국음향학회 제 33회 음성통신 및 신호처리 학술대회, 2016
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249 Domestic Conference 문현기, 박영철, 윤대희 "주파수 종속 믹싱 타임 추정 기법 분석" in 한국음향학회 춘계학술대회, 2016
248 Domestic Conference 서지호, 박영철, 윤대희 "헤드폰/이어폰 환경에서의 제약 최적화 기반의 효율적인 피드백 능동 소음 제어 필터 설계 알고리즘" in 한국음향학회 춘계학술대회, 2016