Papers

Phase Continuity: Learning Derivatives of Phase Spectrum for Speech Enhancement

International Conference
2021~
작성자
고우석
작성일
2022-01-25 10:16
조회
1505
Authors : Doyeon Kim, Hyewon Han, Hyeon-Kyeong Shin, Soo-Whan Chung, Hong-Goo Kang

Year : 2022

Publisher / Conference : ICASSP

Research area : Speech Signal Processing, Speech Enhancement

Related project : 음성인식 성능 향상을 위한 원단 신호 전처리 및 키워드 인식 알고리즘 개발

Presentation : Poster

In this paper, we propose an effective phase reconstruction strategy for speech enhancement in noisy and reverberant environments. In neural network-based speech enhancement systems, various forms of phase information were explicitly or implicitly included in the training loss term. However, the impact of quality improvement for enhanced speech was not significant, and there was no clear analysis on the relationship between the type of phase loss and enhanced speech quality. We propose a novel strategy using phase continuity loss, delving into the relative phase estimation. From various experiments on measuring the effectiveness of magnitude and phase related loss terms for noisy and reverberant signals, we show that the proposed phase continuity loss term plays a crucial role in speech enhancement. Based on these results, we conclude that phase continuity loss is useful for training a speech enhancement model, especially denoising task, and magnitude and phase related loss terms should be properly weighted depending on the type of signal distortion.
전체 355
355 International Conference Hyewon Han, Naveen Kumar "A cross-talk robust multichannel VAD model for multiparty agent interactions trained using synthetic re-recordings" in Hands-free Speech Communication and Microphone Arrays (HSCMA), 2024
354 International Conference Yanjue Song, Doyeon Kim, Nilesh Madhu, Hong-Goo Kang "On the Disentanglement and Robustness of Self-Supervised Speech Representations" in International Conference on Electronics, Information, and Communication (ICEIC) (*awarded Best Paper), 2024
353 International Conference Yeona Hong, Miseul Kim, Woo-Jin Chung, Hong-Goo Kang "Contextual Learning for Missing Speech Automatic Speech Recognition" in International Conference on Electronics, Information, and Communication (ICEIC), 2024
352 International Conference Juhwan Yoon, Seyun Um, Woo-Jin Chung, Hong-Goo Kang "SC-ERM: Speaker-Centric Learning for Speech Emotion Recognition" in International Conference on Electronics, Information, and Communication (ICEIC), 2024
351 International Conference Hejung Yang, Hong-Goo Kang "ON FINE-TUNING PRE-TRAINED SPEECH MODELS WITH EMA-TARGET SELF-SUPERVISED LOSS" in ICASSP, 2024
350 International Journal Zainab Alhakeem, Se-In Jang, Hong-Goo Kang "Disentangled Representations in Local-Global Contexts for Arabic Dialect Identification" in Transactions on Audio, Speech, and Language Processing, 2024
349 International Conference Hong-Goo Kang, W. Bastiaan Kleijn, Jan Skoglund, Michael Chinen "Convolutional Transformer for Neural Speech Coding" in Audio Engineering Society Convention, 2023
348 International Conference Hong-Goo Kang, Jan Skoglund, W. Bastiaan Kleijn, Andrew Storus, Hengchin Yeh "A High-Rate Extension to Soundstream" in IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2023
347 International Conference Zhenyu Piao, Hyungseob Lim, Miseul Kim, Hong-goo Kang "PDF-NET: Pitch-adaptive Dynamic Filter Network for Intra-gender Speaker Verification" in APSIPA ASC, 2023
346 International Conference WooSeok Ko, Seyun Um, Zhenyu Piao, Hong-goo Kang "Consideration of Varying Training Lengths for Short-Duration Speaker Verification" in APSIPA ASC, 2023