A Study of Multichannel Spatiotemporal Features and Knowledge Distillation on Robust Target Speaker Extraction
Author:
Affiliation:
1. NERC-SLIP, University of Science and Technology of China (USTC),Hefei,China
2. iFlytek Research,Hefei,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445798/10445803/10446870.pdf?arnumber=10446870
Reference30 articles.
1. GPU-accelerated Guided Source Separation for Meeting Transcription
2. The CUHK-Tencent Speaker Diarization System for the ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Challenge
3. Exploring End-to-End Multi-Channel ASR with Bias Information for Meeting Transcription
4. The 2nd Clarity Enhancement Challenge for Hearing Aid Speech Intelligibility Enhancement: Overview and Outcomes
5. A Parametric Unconstrained Beamformer Based Binaural Noise Reduction for Assistive Hearing
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