Whisper-large-v3-turbo

NouveauAudio Analysis

Whisper is a state-of-the-art model for automatic speech recognition (ASR) and speech translation, proposed in the paper "Robust Speech Recognition via Large-Scale Weak Supervision" by Alec Radford et al. from OpenAI. Trained on >5M hours of labeled data, Whisper demonstrates a strong ability to generalise to many datasets and domains in a zero-shot setting. Whisper large-v3-turbo is a finetuned version of a pruned Whisper large-v3. In other words, it's the exact same model, except that the number of decoding layers have reduced from 32 to 4. As a result, the model is way faster, at the expense of a minor quality degradation.

À propos du modèle Whisper-large-v3-turbo

Publié sur huggingface

01/09/2024


Prix audio

0.00001278 /seconde


Formats de sortie
jsonverbose_jsontext
Taille du contexte
Inconnu
Paramètres
0.81B

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