Personalized Speech Enhancement Combining Band-Split RNN and Speaker Attentive Module
Author:
Affiliation:
1. Nanjing University,Key Laboratory of Modern Acoustics,Nanjing,China,210093
2. ByteDance,RTC Lab,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10097252.pdf?arnumber=10097252
Reference7 articles.
1. Towards Efficient Models for Real-Time Deep Noise Suppression
2. Online Deep Attractor Network for Real-time Single-channel Speech Separation
3. Personal VAD 2.0: Optimizing Personal Voice Activity Detection for On-Device Speech Recognition
4. Didispeech: A Large Scale Mandarin Speech Corpus
5. High Fidelity Speech Enhancement with Band-split RNN;yu,2022
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1. A Lightweight Hybrid Multi-Channel Speech Extraction System with Directional Voice Activity Detection;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
2. ICASSP 2023 Deep Noise Suppression Challenge;IEEE Open Journal of Signal Processing;2024
3. A Progressive Neural Network for Acoustic Echo Cancellation;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04
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