TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation
Author:
Affiliation:
1. Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA, USA
2. Department of Information Engineering, Universitá Politecnica delle Marche, Ancona, Italy
3. Hyundai Motor Group and 42dot Inc., Seoul, South Korea
Funder
Delta Research Computing Project
National Science Foundation
State of Illinois, Delta is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications
NVIDIA Corporation with the donation of the RTX 8000 GPUs
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics
Link
https://ieeexplore.ieee.org/ielam/6570655/9970249/10214650-aam.pdf
Reference90 articles.
1. FurcaNeXt: End-to-End Monaural Speech Separation with Dynamic Gated Dilated Temporal Convolutional Networks
2. Fullsubnet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement
3. Mixup-breakdown: A Consistency Training Method for Improving Generalization of Speech Separation Models
4. Multichannel Speech Separation with Narrow-band Conformer
5. Dual-Path RNN: Efficient Long Sequence Modeling for Time-Domain Single-Channel Speech Separation
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