Whisper Large v3 Basque This model is a fine tuned version of openai/whisper large v3 specifically for Basque (eu) language Automatic Speech Recognition (ASR). It was trained on the asierhv/composite corpus eu v2.1 dataset, which is a composite corpus designed to improve Basque ASR performance. Key improvements and results compared to the base model: Significant WER reduction: The fine tuned model achieves a Word Error Rate (WER) of 6.5443 on the validation set of the asierhv/composite corpus eu v2.1 dataset, demonstrating a substantial improvement in accuracy for Basque speech. Exceptional performance on Common Voice: When evaluated on the Mozilla Common Voice 18.0 dataset, the model achieved a WER of 4.84. This showcases the model's outstanding ability to generalize to diverse Basque speech datasets, and highlights the high accuracy achievable with the large v3 model. Model description This model leverages the whisper large v3 architecture, the most powerful variant of the Whisper models, known for its exceptional accuracy in multilingual speech recognition. By fine tuning this model on a dedicated Basque speech corpus, it achieves state of the art performance in Basque ASR. The…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy