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Hugging Face enables fine-tuning of MMS adapter models for low-resource ASR

Hugging Face has released new adapter models for their MMS (Massively Multilingual Speech) ASR system. These adapters are designed to improve performance on low-resource languages, enabling better speech recognition for a wider range of linguistic communities. The release focuses on making ASR technology more accessible and effective for languages with limited existing training data. AI

RANK_REASON Release of adapter models for an existing ASR system, focusing on improving performance for low-resource languages.

Read on Hugging Face Blog →

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Hugging Face enables fine-tuning of MMS adapter models for low-resource ASR

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  1. Hugging Face Blog TIER_1 English(EN) ·

    Fine-Tune MMS Adapter Models for low-resource ASR