Metric-Oriented Speech Enhancement Using Diffusion Probabilistic Model

Author:

Chen Chen1,Hu Yuchen1,Weng Weiwei1,Chng Eng Siong1

Affiliation:

1. Nanyang Technological University,School of Computer Science and Engineering,Singapore

Funder

National Research Foundation Singapore

Publisher

IEEE

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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2. Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Noise-Aware Speech Separation with Contrastive Learning;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. Diffusion-Based Speech Enhancement in Matched and Mismatched Conditions Using a Heun-Based Sampler;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

5. Dual-Branch Modeling Based on State-Space Model for Speech Enhancement;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

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