The ISCSLP 2022 Intelligent Cockpit Speech Recognition Challenge (ICSRC): Dataset, Tracks, Baseline and Results

Author:

Zhang Ao1,Yu Fan1,Huang Kaixun1,Xie Lei1,Wang Longbiao2,Chng Eng Siong3,Bu Hui4,Zhang Binbin5,Chen Wei6,Xu Xin4

Affiliation:

1. Northwestern Polytechnical University,Audio, Speech and Language Processing Group (ASLP@NPU), School of Computer Science,Xi’an,China

2. Tianjin University,Tianjin Key Laboratory of Cognitive Computing and Application,College of Intelligence and Computing,Tianjin,China

3. Nanyang Technological University,School of Computer Science and Engineering,Singapore

4. Beijing Shell Shell Technology Co. Ltd,Beijing,China

5. WeNet Open Source Community

6. Li Auto Inc.,Beijing,China

Publisher

IEEE

Reference39 articles.

1. CSA-BF: a constrained switched adaptive beamformer for speech enhancement and recognition in real car environments

2. You Do Not Need More Data: Improving End-To-End Speech Recognition by Text-To-Speech Data Augmentation

3. Performance measures of noise reduction algorithms in voice control channels of UAVs

4. A survey on neural speech synthesis;xu;arXiv preprint arXiv 2106 14881,2021

5. An analysis of incorporating an external language model into a sequence-to-sequence model;kannan;Proc ICASSP,2018

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1. The Fawaispeech System for Multi-Channel Speech Recognition in ICMC-ASR Challenge;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14

2. ICMC-ASR: The ICASSP 2024 In-Car Multi-Channel Automatic Speech Recognition Challenge;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14

3. Efficient Conformer-Based CTC Model for Intelligent Cockpit Speech Recognition;2022 13th International Symposium on Chinese Spoken Language Processing (ISCSLP);2022-12-11

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