# Common Voice adaptation

This is a speech recognition model fine-tuned on the Catalan Common Voice 11.0 dataset based on OpenAI Whisper Medium.

This model is a speech recognition model fine-tuned on the Common Voice Turkish dataset based on facebook/wav2vec2-large-xlsr-53

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

This is an automatic speech recognition model fine-tuned on the Turkish Common Voice dataset based on the facebook/wav2vec2-large-xlsr-53 model, achieving a test WER of 21.13%.

This model is a Tatar automatic speech recognition model fine-tuned on the Common Voice 8 dataset based on facebook/wav2vec2-large-xlsr-53, with a test set WER of 53.16%.

XLSR-53 large model speech recognition system optimized for Polish, fine-tuned based on facebook/wav2vec2-large-xlsr-53, supports Polish automatic speech recognition

A speech recognition model fine-tuned on Common Voice Upper Sorbian data based on facebook/wav2vec2-large-xlsr-53, supporting automatic speech recognition tasks for Upper Sorbian.

This is an Estonian automatic speech recognition (ASR) model fine-tuned from the facebook/wav2vec2-large-xlsr-53 model, trained using the Common Voice dataset.

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

Fine-tuned automatic speech recognition model based on facebook/wav2vec2-large-xlsr-53 on the English Common Voice dataset, supporting punctuation prediction

This is an automatic speech recognition model fine-tuned on the Turkish Common Voice dataset based on Facebook's wav2vec2-large-xlsr-53 model.

A Kyrgyz speech recognition model fine-tuned from facebook/wav2vec2-large-xlsr-53, trained on Common Voice dataset with a word error rate of 34.08%.

A fine-tuned automatic speech recognition model for Persian (Farsi) based on facebook/wav2vec2-large-xlsr-53, supporting 16kHz sampled audio input.

Automatic speech recognition model fine-tuned on Odia language based on Facebook's wav2vec2-large-xlsr-53 model

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the Common Voice dataset, supporting Breton (br) speech recognition tasks.

A Russian speech recognition model fine-tuned from facebook/wav2vec2-large-xlsr-53, supporting 16kHz sampled audio input

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

An automatic speech recognition model fine-tuned for Lithuanian using the Common Voice dataset, based on the facebook/wav2vec2-large-xlsr-53 model.

An automatic speech recognition model fine-tuned on the Welsh Common Voice dataset based on facebook/wav2vec2-large-xlsr-53, achieving a test WER of 29.4%.

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

Assamese (Assamese) speech recognition model fine-tuned on the Common Voice 8.0 dataset based on facebook/wav2vec2-xls-r-300m

A speech recognition model fine-tuned on the Greek Common Voice dataset based on facebook/wav2vec2-large-xlsr-53, balancing the training set with synthesized female voice data

This model is a fine-tuned speech recognition model based on facebook/wav2vec2-xls-r-300m on the COMMON_VOICE - LG dataset, supporting automatic speech recognition tasks for Luganda (lg).

A speech recognition model fine-tuned on the Common Voice 8.0 Czech dataset based on facebook/wav2vec2-xls-r-300m

An Italian speech recognition model fine-tuned from facebook/wav2vec2-large-xlsr-53, achieving a word error rate of 13.91% on the Common Voice Italian test set

This is an automatic speech recognition model fine-tuned on the Mongolian Common Voice dataset based on facebook/wav2vec2-large-xlsr-53

This model is an automatic speech recognition model fine-tuned on the Romanian Common Voice 7.0 dataset based on facebook/wav2vec2-xls-r-1b.

An automatic speech recognition model fine-tuned on the Tamil language using the Common Voice dataset, based on facebook/wav2vec2-large-xlsr-53.

This is a fine-tuned XLSR-53 large model for Portuguese speech recognition tasks, trained on the Common Voice 6.1 dataset, supporting Portuguese speech-to-text conversion.

A fine-tuned model based on facebook/wav2vec2-large-xlsr-53 for Chuvash automatic speech recognition tasks.

This is an automatic speech recognition model fine-tuned on the Punjabi (India) dataset based on the facebook/wav2vec2-xls-r-300m model.

A Romanian speech recognition model fine-tuned based on facebook/wav2vec2-xls-r-300m, achieving a WER of 12.46% on the Common Voice Romanian test set

This is an automatic speech recognition model fine-tuned on the Tamil Common Voice dataset based on facebook/wav2vec2-large-xlsr-53.

This is a Georgian automatic speech recognition (ASR) model fine-tuned from the facebook/wav2vec2-large-xlsr-53 model, trained using the Common Voice dataset.

This is a Breton automatic speech recognition model based on the XLSR Wav2Vec2 architecture, fine-tuned on the Common Voice dataset.

This is an automatic speech recognition (ASR) model based on the XLS-R architecture with 300M parameters, specifically optimized for Dutch and trained on the Common Voice 8.0 dataset.

XLS-R-300M is an automatic speech recognition (ASR) model specifically optimized for Dutch, trained on the Common Voice 8 Dutch dataset.

This is an automatic speech recognition model fine-tuned on the COMMON_VOICE - AB dataset, based on the XLS-R Dummy architecture

This model is an automatic speech recognition model fine-tuned on the Romansh-Sursilvan dialect dataset based on facebook/wav2vec2-xls-r-300m, achieving a 24.09% Word Error Rate (WER) on the Common Voice 8 test set.

This is an automatic speech recognition (ASR) model fine-tuned on Kazakh (KK) speech datasets based on the facebook/wav2vec2-xls-r-300m model.