THE FOSAFER SYSTEM FOR THE ICASSP2024 IN-CAR MULTI-CHANNEL AUTOMATIC SPEECH RECOGNITION CHALLENGE

被引：0
|
作者：
Huang, Shangkun [1 ]
Du, Yuxuan [1 ]
Wang, Yankai [1 ]
Deng, Jing [1 ]
Zheng, Rong [1 ]
机构：
[1] Beijing Fosafer Informat Technol Co Ltd, Beijing, Peoples R China
来源：
2024 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING WORKSHOPS, ICASSPW 2024 | 2024年
关键词：
Robust automatic speech recognition; self-supervised learning representation; speech enhancement; speaker diarization;
D O I：
10.1109/ICASSPW62465.2024.10625781
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
This paper presents the Fosafer's submissions to the ICASSP 2024 In-Car Multi-Channel Automatic Speech Recognition Challenge (ICMC-ASR), which includes both the Automatic Speech Recognition (ASR) and Automatic Speech Diarization and Recognition (ASDR) systems. In Track1, a robust ASR system with data augmentation, self-supervised learning representation (SSLR), and speech enhancement (SE) achieved the second place. In Track2, different speaker diarization algorithms were fully exploited and achieved the fifth place.
引用
收藏
页码：5 / 6
页数：2
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