Unifying Speech Enhancement and Separation with Gradient Modulation for End-to-End Noise-Robust Speech Separation
Author:
Affiliation:
1. Nanyang Technological University,School of Computer Science and Engineering,Singapore
2. Hunan University,College of Computer Science and Electronic Engineering,China
Funder
National Research Foundation Singapore
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096050.pdf?arnumber=10096050
Reference27 articles.
1. An Improved Wav2Vec 2.0 Pre-Training Approach Using Enhanced Local Dependency Modeling for Speech Recognition
2. Unsupervised Noise Adaptation Using Data Simulation
3. Interactive Feature Fusion for End-to-End Noise-Robust Speech Recognition
4. Leveraging modality-specific representations for audio-visual speech recognition via reinforcement learning;chen,2022
5. Metric-Oriented Speech Enhancement Using Diffusion Probabilistic Model
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1. A Separation Priority Pipeline for Single-Channel Speech Separation in Noisy Environments;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
2. Speech Enhancement and Denoising Audio for Hard-of-Hearing People in Universities;2024 6th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE);2024-02-29
3. Gradient Remedy for Multi-Task Learning in End-to-End Noise-Robust Speech Recognition;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04
4. Metric-Oriented Speech Enhancement Using Diffusion Probabilistic Model;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04
5. Unsupervised Noise Adaptation Using Data Simulation;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04
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