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Token Merging for Multilingual Speech Recognition: A Systematic Study Across Model Scale and Fine-Tuning

Holyoak, Dylan Luke
arXiv (OAI Expanded) · Papers
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computation-and-language
Leading multilingual speech recognition models like Whisper transcribe diverse, low-resource languages without language-specific training but are computationally expensive to deploy. Token merging mitigates this inefficiency by dynamically combining redundant features, shortening the sequence length
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