A speech recognition model fine-tuned on the Common Voice dataset based on wav2vec2-base-cv, achieving a word error rate of 36.84% on the evaluation set.

Audio ProcessingTransformers

A speech recognition model fine-tuned on the common_voice dataset based on facebook/wav2vec2-base

Audio ProcessingTransformers

This model is a fine-tuned version of wav2vec2-base-1 on the common_voice dataset, primarily used for speech recognition tasks.

Audio ProcessingTransformers

A fine-tuned speech recognition model based on facebook/wav2vec2-base trained on the common_voice dataset

Audio ProcessingTransformers

This model is a fine-tuned speech recognition model based on wav2vec2-base-checkpoint-8 on the common_voice dataset, achieving a word error rate of 0.3258 on the evaluation set.

Audio ProcessingTransformers

This model is a fine-tuned version based on wav2vec2-base-checkpoint-11.1 on the Common Voice dataset, primarily used for speech recognition tasks.

Audio ProcessingTransformers

A speech recognition model based on the wav2vec2 architecture, fine-tuned on the Common Voice dataset

Audio ProcessingTransformers

A speech recognition model fine-tuned on the Common Voice dataset based on wav2vec2-base-checkpoint-5

Audio ProcessingTransformers

This model is a fine-tuned speech recognition model based on wav2vec2-base-checkpoint-4 on the common_voice dataset, supporting Automatic Speech Recognition (ASR) tasks.

Audio ProcessingTransformers

A speech recognition model fine-tuned on the common_voice dataset based on wav2vec2-base-checkpoint-9, achieving a word error rate of 0.3292 on the evaluation set

Audio ProcessingTransformers