# Common Voice optimization

This is a fine-tuned version of distil-whisper-large-v3, specifically designed for automatic speech recognition (ASR) of Brazilian Portuguese, trained by combining the Common Voice 16 dataset and a private dataset.

A Portuguese speech recognition model fine-tuned on the common_voice_11_0 dataset based on openai/whisper-medium, with a word error rate of 6.5987

A speech recognition model fine-tuned on the Common Voice Japanese dataset based on facebook/wav2vec2-large-xlsr-53

This is a Punjabi automatic speech recognition model fine-tuned on the Common Voice dataset based on Harveenchadha/vakyansh-wav2vec2-punjabi-pam-10

This is an automatic speech recognition (ASR) model fine-tuned on the Spanish Common Voice 7 dataset, based on the facebook/wav2vec2-large-xlsr-53 model.

This is a French speech recognition model fine-tuned from the XLSR-53 large model, trained on the Common Voice dataset, supporting high-accuracy French speech-to-text conversion.

XLSR-53 large model speech recognition system optimized for Persian, fine-tuned based on facebook/wav2vec2-large-xlsr-53 architecture

An automatic speech recognition (ASR) model fine-tuned on Armenian language datasets based on facebook/wav2vec2-xls-r-300m, supporting Armenian speech-to-text tasks.

Turkish automatic speech recognition model fine-tuned from facebook/wav2vec2-xls-r-300m, trained on Common Voice 8.0 TR dataset

A French speech recognition model fine-tuned from facebook/wav2vec2-large-fr-voxpopuli, trained on the Common Voice 6.1 French dataset, supporting 16kHz audio input

A French automatic speech recognition model based on the wav2vec2-large-xlsr-53 architecture, supporting punctuation prediction

This model is an automatic speech recognition model fine-tuned on the Kurmanji Kurdish dataset based on facebook/wav2vec2-xls-r-300m.

This is an automatic speech recognition model fine-tuned on the Slovenian language dataset (MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - SL) based on the facebook/wav2vec2-xls-r-300m model.

This is a Hindi automatic speech recognition (ASR) model based on the wav2vec2 architecture, trained on datasets like Common Voice.

This is an automatic speech recognition model fine-tuned on the Central Kurdish dialect based on the facebook/wav2vec2-xls-r-300m model, trained on the Common Voice 8.0 dataset.

This is an automatic speech recognition model fine-tuned on the Bashkir Common Voice 7 dataset based on Facebook's wav2vec2-xls-r-300m model.