TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation

Author:

Wang Zhong-Qiu1ORCID,Cornell Samuele2,Choi Shukjae3,Lee Younglo3,Kim Byeong-Yeol3,Watanabe Shinji1ORCID

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

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1. X-TF-GridNet: A time–frequency domain target speaker extraction network with adaptive speaker embedding fusion;Information Fusion;2024-12

2. Brain‐Controlled Augmented Hearing for Spatially Moving Conversations in Multi‐Talker Environments;Advanced Science;2024-09-09

3. Insights into Magnitude and Phase Estimation by Masking and Mapping in DNN-Based Multichannel Speaker Separation;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14

4. Meeting Recognition with Continuous Speech Separation and Transcription-Supported Diarization;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14

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