The Royalflush Automatic Speech Diarization and Recognition System for In-Car Multi-Channel Automatic Speech Recognition Challenge
Author:
Affiliation:
1. Hithink RoyalFlush AI Research Institute,Zhejiang,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10625769/10625780/10626136.pdf?arnumber=10626136
Reference13 articles.
1. GPU-accelerated Guided Source Separation for Meeting Transcription
2. Target-Speaker Voice Activity Detection: A Novel Approach for Multi-Speaker Diarization in a Dinner Party Scenario
3. Royalflush speaker diarization system for icassp 2022 multi-channel multi-party meeting transcription challenge;Tian,2022
4. Large-scale learning on overlapped speech detection: New benchmark and new general system;Yin,2023
5. Dual-Path RNN: Efficient Long Sequence Modeling for Time-Domain Single-Channel Speech Separation
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