Multi-Stage Multi-Modal Pre-Training for Automatic Speech Recognition (2024.lrec-main)
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Yash Jain, David M. Chan, Pranav Dheram, Aparna Khare, Olabanji Shonibare, Venkatesh Ravichandran, Shalini Ghosh
| Challenge: | Existing methods for pre-training for automatic speech recognition (ASR) focus on single-stage pre-train followed by fine-tuning on downstream task. |
| Approach: | They propose a multi-modal pre-training method that combines unsupervised pre-training with translation-based supervised mid-training. |
| Outcome: | The proposed method improves WERs by 38.45% over baselines on both Librispeech and SUPERB. |
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