Mandarin-English Code-Switching Speech Recognition System for Specific Domain
2022-11-01ROCLING 2022Unverified0· sign in to hype
Chung-Pu Chiou, Hou-An Lin, Chia-Ping Chen
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This paper will introduce the use of Automatic Speech Recognition (ASR) technology to process speech content with specific domain. We will use the Conformer end-to-end model as the system architecture, and use pure Chinese data for initial training. Next, use the transfer learning technology to fine-tune the system with Mandarin-English code-switching data. Finally, use the Mandarin-English code-switching data with a specific domain makes the final fine-tuning of the model so that it can achieve a certain effect on speech recognition in a specific domain. Experiments with different fine-tuning methods reduce the final error rate from 82.0% to 34.8%.