Metric-Oriented Speech Enhancement Using Diffusion Probabilistic Model
Author:
Affiliation:
1. Nanyang Technological University,School of Computer Science and Engineering,Singapore
Funder
National Research Foundation Singapore
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095046.pdf?arnumber=10095046
Reference32 articles.
1. Dual-path style learning for end-to-end noise-robust speech recognition;hu;arXiv preprint arXiv 2203 14838,2022
2. Noise-Robust Speech Recognition With 10 Minutes Unparalleled In-Domain Data
3. Robust data2vec: Noise-robust speech representation learning for asr by combining regression and improved contrastive learning;zhu;arXiv preprint arXiv 2210 15324,2022
4. Gradient Remedy for Multi-Task Learning in End-to-End Noise-Robust Speech Recognition
5. WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-End Speech Enhancement
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