TEA-PSE 2.0: Sub-Band Network for Real-Time Personalized Speech Enhancement

Author:

Ju Yukai1,Zhang Shimin1,Rao Wei2,Wang Yannan2,Yu Tao2,Xie Lei1,Shang Shidong2

Affiliation:

1. Northwestern Polytechnical University,Audio, Speech and Language Processing Group (ASLP@NPU),Xi'an,China

2. Tencent Corporation,Tencent Ethereal Audio Lab,Shenzhen,China

Publisher

IEEE

Reference41 articles.

1. Optimizing shoulder to shoulder: A coordinated sub-band fusion model for real-time full-band speech en-hancement;yu;ArXiv Preprint,2022

2. ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification

3. DMF-Net: A decoupling-style multi-band fusion model for full-band speech enhancement

4. Adam: A method for stochastic optimization;kingma;ArXiv Preprint,2014

5. DurIAN: Duration Informed Attention Network for Speech Syn-thesis;yu;InterSpeech,2020

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2. Improving low-complexity and real-time DeepFilterNet2 for personalized speech enhancement;International Journal of Speech Technology;2024-04-23

3. Rad-Net: A Repairing and Denoising Network for Speech Signal Improvement;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14

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