Joint Optimization of Diffusion Probabilistic-Based Multichannel Speech Enhancement with Far-Field Speaker Verification
Author:
Affiliation:
1. Université de Lorraine, CNRS,Nancy,France,F-54000
2. University of Avignon,Laboratoire Informatique d'Avignon,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10022052/10022330/10022350.pdf?arnumber=10022350
Reference40 articles.
1. Joint opti-mization of neural acoustic beamforming and derever-beration with x-vectors for robust speaker verification;yang;InterSpeech,2019
2. Librispeech: An ASR corpus based on public domain audio books
3. Joint opti-mization of neural network-based wpe dereverberation and acoustic model for robust online asr;heymann;ICASSP,2019
4. Similarity-Preserving Knowledge Distillation
5. Dereverberation and Beamforming in Far-Field Speaker Recognition
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1. Drift-DiffuSE: Diffusion Model with Learnable Drift Term for Speech Enhancement;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
2. DFR-ECAPA: Diffusion Feature Refinement for Speaker Verification Based on ECAPA-TDNN;Pattern Recognition and Computer Vision;2023-12-25
3. LC4SV: A Denoising Framework Learning to Compensate for Unseen Speaker Verification Models;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16
4. U-Shaped Low-Complexity Type-2 Fuzzy LSTM Neural Network for Speech Enhancement;IEEE Access;2023
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