Papers with USM-CTC baseline
LegoSLM: Connecting LLM with Speech Encoder using CTC Posteriors (2025.findings-emnlp)
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| Challenge: | Recent studies show that pre-trained speech encoders and large language models can perform suboptimal performance on a range of spoken language processing tasks. |
| Approach: | They propose to combine large-scale pre-trained speech encoders and large-language models for better performance on automatic speech recognition tasks. |
| Outcome: | The proposed model can get an average of 49% WER reduction over the baseline model on 8 MLS testsets. |