# XLSR fine-tuning

This model is an automatic speech recognition model fine-tuned on the GARY109/AI_LIGHT_DANCE - ONSET-STEPMANIA2 dataset, based on gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v3.

A Russian speech recognition model fine-tuned from facebook/wav2vec2-large-xlsr-53, trained on the Sberdevices Golos dataset, supporting 16kHz audio input

This is an Indonesian automatic speech recognition model based on the XLSR Wav2Vec2 architecture, fine-tuned on a public Indonesian speech dataset.

A Spanish speech recognition model fine-tuned from jonatasgrosman/wav2vec2-large-xlsr-53-spanish, optimized for Colombian accent and noisy environments

A Spanish (Colombian accent) speech recognition model fine-tuned based on jonatasgrosman/wav2vec2-large-xlsr-53-spanish

This is a speech recognition model fine-tuned on a specific dataset based on jonatasgrosman/wav2vec2-large-xlsr-53-spanish model, supporting Spanish.

Hindi automatic speech recognition (ASR) model based on Wav2Vec2 architecture, fine-tuned on public speech datasets

An English speech recognition model fine-tuned from the facebook/wav2vec2-large-xlsr-53 model, trained on the Common Voice 6.1 dataset

This is a Slovenian automatic speech recognition model fine-tuned from Facebook's wav2vec2-large-xlsr-53 model, trained on the Common Voice dataset with a word error rate of 36.04%.

This is a Kazakh automatic speech recognition (ASR) model fine-tuned from facebook/wav2vec2-large-xlsr-53, trained on the Kazakh speech corpus v1.1 with a test WER of 19.65%.

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

A Ukrainian automatic speech recognition (ASR) model fine-tuned from facebook/wav2vec2-large-xlsr-53, trained on the Common Voice dataset.

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

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

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

A Basque automatic speech recognition model fine-tuned from facebook/wav2vec2-large-xlsr-53, achieving a 15.34% word error rate (WER) on the Common Voice Basque test set.

This is a Turkish speech recognition model fine-tuned from facebook/wav2vec2-large-xlsr-53, trained using artificial Common Voice dataset.

A Hakha Chin speech recognition model fine-tuned from the facebook/wav2vec2-large-xlsr-53 model, trained on the Common Voice dataset with a test WER of 31.38%.

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

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 for Irish language using the Common Voice dataset, based on facebook/wav2vec2-large-xlsr-53.

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice dataset, primarily used for Hindi speech recognition tasks.

An automatic speech recognition model fine-tuned on Greek language based on facebook/wav2vec2-large-xlsr-53

This model is a speech recognition model fine-tuned on the common_voice dataset based on facebook/wav2vec2-large-xlsr-53, primarily used for robust speech event recognition.

This is an automatic speech recognition (ASR) model fine-tuned on the Latvian Common Voice dataset based on Facebook's Wav2Vec2-Large-XLSR-53 model.

A fine-tuned speech recognition model for the Romansh Vallader dialect based on facebook/wav2vec2-large-xlsr-53, achieving a word error rate of 32.89%

Indonesian automatic speech recognition (ASR) model fine-tuned on the XLSR architecture, trained on the Common Voice Indonesian dataset

A Nahuatl (ncj dialect) speech recognition model fine-tuned based on facebook/wav2vec2-large-xlsr-53

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

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

A Javanese automatic speech recognition model fine-tuned from facebook/wav2vec2-large-xlsr-53, trained on high-quality Javanese TTS data from OpenSLR.

A Sundanese speech recognition model fine-tuned from facebook/wav2vec2-large-xlsr-53, trained on high-quality TTS data from OpenSLR

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

An automatic speech recognition model fine-tuned on Tatar language based on facebook/wav2vec2-large-xlsr-53, supporting 16kHz sampled audio input.

A Portuguese speech recognition model fine-tuned on the Common Voice dataset based on Edresson/wav2vec2-large-xlsr-coraa-portuguese

This is a Kyrgyz automatic speech recognition model fine-tuned from the facebook/wav2vec2-large-xlsr-53 model, trained using public speech datasets.

This is an automatic speech recognition (ASR) model fine-tuned on Punjabi speech data based on the facebook/wav2vec2-large-xlsr-53 model.

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

A Turkish speech recognition model fine-tuned on the Common Voice dataset based on Facebook's wav2vec2-large-xlsr-53 model

An Interlingua speech recognition model fine-tuned from Facebook's wav2vec2-large-xlsr-53 model, achieving a 22.08% word error rate on the Common Voice Interlingua dataset.