Papers

Stacked U-Net with High-level Feature Transfer for Parameter Efficient Speech Enhancement

International Conference
2021~
작성자
김화연
작성일
2021-09-01 14:48
조회
2722
Authors : Jinyoung Lee and Hong-Goo Kang

Year : 2021

Publisher / Conference : APSIPA ASC

Research area : Speech Signal Processing, Speech Enhancement

In this paper, we present a stacked U-Net structure-based speech enhancement algorithm with parameter reduction and real-time processing. To significantly reduce the number of network parameters, we propose a stacked structure in which several shallow U-Nets with fewer convolutional layer channels are cascaded. However, simply stacking the small-scale U-Nets cannot sufficiently compensate for the performance loss caused by the lack of parameters. To overcome this problem, we propose a high-level feature transfer method that passes all the multi-channel output features, which are obtained before passing through the intermediate output layer, to the next stage.Furthermore, our proposed model can process analysis frames with short lengths because its down-sampling and up-sampling blocks are much smaller than the conventional Wave U-Net method; theses smaller layers make our proposed model suitable for low-delay online processing. Experiments show that our proposed method outperforms the conventional Wave U-Net method on almost all objective measures and requires only 7.21%of the network parameters when compared to the conventional method. In addition, our model can be successfully implemented in real time on both GPU and CPU environments.
전체 365
34 International Conference Doyeon Kim, Yanjue Song, Nilesh Madhu, Hong-Goo Kang "Enhancing Neural Speech Embeddings for Generative Speech Models" in APSIPA, 2024
33 International Conference Miseul Kim, Soo-Whan Chung, Youna Ji, Hong-Goo Kang, Min-Seok Choi "Speak in the Scene: Diffusion-based Acoustic Scene Transfer toward Immersive Speech Generation" in INTERSPEECH, 2024
32 International Conference Woo-Jin Chung, Hong-Goo Kang "Speaker-Independent Acoustic-to-Articulatory Inversion through Multi-Channel Attention Discriminator" in INTERSPEECH, 2024
31 International Conference Juhwan Yoon, Woo Seok Ko, Seyun Um, Sungwoong Hwang, Soojoong Hwang, Changhwan Kim, Hong-Goo Kang "UNIQUE : Unsupervised Network for Integrated Speech Quality Evaluation" in INTERSPEECH, 2024
30 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
29 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
28 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
27 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
26 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
25 International Conference Hejung Yang, Hong-Goo Kang "On Fine-Tuning Pre-Trained Speech Models With EMA-Target Self-Supervised Loss" in ICASSP, 2024