Improving Speech Recognition on Noisy Speech via Speech Enhancement with Multi-Discriminators CycleGAN

Author:

Li Chia-Yu1,Vu Ngoc Thang1

Affiliation:

1. Institute of Natural Language Processing, University of Stuttgart,Germany

Publisher

IEEE

Reference25 articles.

1. Improving Mask Learning Based Speech Enhancement System with Restoration Layers and Residual Connection

2. Generative adversarial nets;goodfellow;Advances in neural information processing systems,2014

3. Domain-adversarial training of neural networks;ganin;Machine Learning Research,2016

4. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

5. Noise Adaptive Speech Enhancement Using Domain Adversarial Training

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2. A Study on Domain Adaptation for Audio-Visual Speech Enhancement;Communications in Computer and Information Science;2024

3. Application of a CNN-based Acoustic Classification Model to Detecting a Target Signal with Interference;2023 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia);2023-10-23

4. Multi-Discriminator Noise Suppression Algorithm Based on Improved CMGAN for Low Signal-to-Noise Ratio Scenarios;Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering;2023-10-20

5. Direct enhancement of pre-trained speech embeddings for speech processing in noisy conditions;Computer Speech & Language;2023-06

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