TF-GRIDNET: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation
Author:
Affiliation:
1. Carnegie Mellon University,Language Technologies Institute,Pittsburgh,USA
2. Hyundai Motor Group and 42dot Inc.,Seoul,Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10094992.pdf?arnumber=10094992
Reference48 articles.
1. FurcaNeXt: End-to-End Monaural Speech Separation with Dynamic Gated Dilated Temporal Convolutional Networks;zhang;Proc ICMMT,2020
2. Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation
3. Mixup-breakdown: A Consistency Training Method for Improving Generalization of Speech Separation Models
4. Multi-microphone Complex Spectral Mapping for Utterance-wise and Continuous Speech Separation
5. Dual-Path RNN: Efficient Long Sequence Modeling for Time-Domain Single-Channel Speech Separation
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1. Binaural Multichannel Blind Speaker Separation With a Causal Low-Latency and Low-Complexity Approach;IEEE Open Journal of Signal Processing;2024
2. A Single Speech Enhancement Model Unifying Dereverberation, Denoising, Speaker Counting, Separation, And Extraction;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16
3. Exploring Time-Frequency Domain Target Speaker Extraction For Causal and Non-Causal Processing;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16
4. Toward Universal Speech Enhancement For Diverse Input Conditions;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16
5. On Time Domain Conformer Models for Monaural Speech Separation in Noisy Reverberant Acoustic Environments;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16
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