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AI 모델 535

• whisper-large-v3-turbo-sk↗

  NaiveNeuron

• whisper-large-v3-turbo-darija↗

  anaszil

• whisper-small↗

  OpenAI

  Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains **without** the need for fine-tuning. Whisper was proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford et al from OpenAI. The original code repository can be found here. **Disclaimer**: Content for this model card has partly been written by the Hugging Face team, and parts of it were copied and pasted from the original model card.

• Whisperv3-tunisian-codeswitch↗

  oddadmix

• Pathumma-whisper-large-v3-mlx↗

  tawankri

• egyptian-arabic-wav2vec2-xlsr-53↗

  IbrahimAmin

  This model is a fine-tuned version of omarxadel/wav2vec2-large-xlsr-53-arabic-egyptian, enhancing **Egyptian Arabic**, **Modern Standard Arabic (MSA)** and **Gulf / Levantine Arabic** for Automatic Speech Recognition. It was trained on a diverse combination of publicly available and custom-collected Arabic speech datasets, including: \*: *Whisper models were decoded using beam search (`beam_size = 5`) and evaluated using `BasicTextNormalizer` with `remove_diacritics=False` and `split_letters=False`, applied to both predictions and reference text.*

• whisper-medium-id↗

  cahya

• PhoWhisper-tiny↗

  vinai

• Whisper-Taiwanese-model-v0.5↗

  NUTN-KWS

• whisper-large-v3-turbo-persian↗

  givia