Two-Stage Refinement of Magnitude and Complex Spectra for Real-Time Speech Enhancement

International Journal
2022-11-09 14:37
Authors : Jinyoung Lee, Hong-Goo Kang

Year : 2022

Publisher / Conference : IEEE Signal Processing Letters

Volume : 29

Page : 2188-2192

Research area : Speech Signal Processing, Speech Enhancement

Presentation/Publication date : 17 October 2022

Presentation : None

In this letter, we propose a two-stage network for performing speech enhancement that predicts magnitude spectra in the first stage and complex spectra in the second stage. To maximize the model’s performance at each stage, we propose two convolutional modules: magnitude spectral masking (MSM) and complex spectra refinement (CSR). Each module is designed to take
into account the specific characteristics of the signal type it handles. The MSM estimates multiplicative masks to remove noise in the magnitude component of the convolutional features, and the CSR refines the complex component of the convolutional features using additive features. By using these modules, our proposed two-stage enhancement model shows higher performance than previously proposed state-of-the-art algorithms. In addition, the number of parameters of our model is only 2.63 million, and it can operate in real time thanks to its causal characteristics and low computational complexity.
전체 356
356 International Conference Yanjue Song, Doyeon Kim, Hong-Goo Kang, Nilesh Madhu "Spectrum-aware neural vocoder based on self-supervised learning for speech enhancement" in EUSIPCO, 2024
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, Satellite workshop in ICASSP), 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