Papers

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

International Journal
2021~
작성자
dsp
작성일
2022-11-09 14:37
조회
26
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 327
327 International Journal Jinyoung Lee, Hong-Goo Kang "Two-Stage Refinement of Magnitude and Complex Spectra for Real-Time Speech Enhancement" in IEEE Signal Processing Letters, vol.29, pp.2188-2192, 2022
326 International Conference Hyeon-Kyeong Shin, Hyewon Han, Doyeon Kim, Soo-Whan Chung, Hong-Goo Kang "Learning Audio-Text Agreement for Open-vocabulary Keyword Spotting" in INTERSPEECH (*Best Student Paper Finalist), 2022
325 International Conference Changhwan Kim, Se-yun Um, Hyungchan Yoon, Hong-goo Kang "FluentTTS: Text-dependent Fine-grained Style Control for Multi-style TTS" in INTERSPEECH, 2022
324 International Conference Miseul Kim, Zhenyu Piao, Seyun Um, Ran Lee, Jaemin Joh, Seungshin Lee, Hong-Goo Kang "Light-Weight Speaker Verification with Global Context Information" in INTERSPEECH, 2022
323 International Journal Kyungguen Byun, Se-yun Um, Hong-Goo Kang "Length-Normalized Representation Learning for Speech Signals" in IEEE Access, vol.10, pp.60362-60372, 2022
322 International Conference Doyeon Kim, Hyewon Han, Hyeon-Kyeong Shin, Soo-Whan Chung, Hong-Goo Kang "Phase Continuity: Learning Derivatives of Phase Spectrum for Speech Enhancement" in ICASSP, 2022
321 International Conference Chanwoo Lee, Hyungseob Lim, Jihyun Lee, Inseon Jang, Hong-Goo Kang "Progressive Multi-Stage Neural Audio Coding with Guided References" in ICASSP, 2022
320 International Conference Jihyun Lee, Hyungseob Lim, Chanwoo Lee, Inseon Jang, Hong-Goo Kang "Adversarial Audio Synthesis Using a Harmonic-Percussive Discriminator" in ICASSP, 2022
319 International Conference Jinyoung Lee and Hong-Goo Kang "Stacked U-Net with High-level Feature Transfer for Parameter Efficient Speech Enhancement" in APSIPA ASC, 2021
318 International Conference Huu-Kim Nguyen, Kihyuk Jeong, Se-Yun Um, Min-Jae Hwang, Eunwoo Song, Hong-Goo Kang "LiteTTS: A Decoder-free Light-weight Text-to-wave Synthesis Based on Generative Adversarial Networks" in INTERSPEECH, 2021