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We present FireRedASR, a family of large-scale automatic speech recognition (ASR) models for Mandarin, designed to meet diverse requirements in superior performance and optimal efficiency across various applications.
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Kespeech: An open source speech dataset of mandarin and its eight subdialects
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Wenetspeech: A 10000+ hours multi-domain mandarin corpus for speech recognition
Binbin Zhang, Hang Lv, Pengcheng Guo, Qijie Shao, Chao Yang, Lei Xie, Xin Xu, Hui Bu, Xiaoyu Chen, Chenchen Zeng, et al · 2022
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Alec Radford, Jong Wook Kim, Tao Xu, Greg Brockman, Christine McLeavey, and Ilya Sutskever · 2023
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Touchasp: Elastic automatic speech perception that everyone can touch
Xingchen Song, Chengdong Liang, Binbin Zhang, Pengshen Zhang, ZiYu Wang, Youcheng Ma, Menglong Xu, Lin Wang, Di Wu, Fuping Pan, et al · 2024
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Rohit Prabhavalkar, Takaaki Hori, Tara N Sainath, Ralf Schlüter, and Shinji Watanabe · 2023
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Google usm: Scaling automatic speech recognition beyond 100 languages
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On decoder-only architecture for speech-to-text and large language model integration
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