# XLSR fine-tuned model

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

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

A fine-tuned model based on facebook/wav2vec2-large-xlsr-53 for Kinyarwanda, capable of predicting apostrophes in marked pronouns and vowel-initial word contractions

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.

A Chuvash automatic speech recognition model fine-tuned from facebook/wav2vec2-large-xlsr-53, trained on the Common Voice dataset with a word error rate of 40.01%.

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

This is a Lithuanian automatic speech recognition (ASR) model fine-tuned from Facebook's wav2vec2-large-xlsr-53 model, trained using the Common Voice dataset.

Swahili automatic speech recognition model fine-tuned on XLSR-53 large model, supports 16kHz sampling rate audio input

A fine-tuned automatic speech recognition model for the Sursilvan dialect of Romansh, based on the facebook/wav2vec2-large-xlsr-53 model

A Luganda speech recognition model fine-tuned from facebook/wav2vec2-large-xlsr-53, trained on Common Voice dataset with 29.52% word error rate

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.

Tamil automatic speech recognition (ASR) model fine-tuned from facebook/wav2vec2-large-xlsr-53

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

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

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

A speech recognition model fine-tuned on the common_voice dataset based on anas/wav2vec2-large-xlsr-arabic

Speech recognition model fine-tuned on the Common Voice 8.0 Slovak dataset based on facebook/wav2vec2-xls-r-300m

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

An Arabic automatic speech recognition model fine-tuned based on facebook/wav2vec2-large-xlsr-53, supporting 16kHz sampling rate audio input

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

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

A Dhivehi automatic speech recognition model fine-tuned from facebook/wav2vec2-large-xlsr-53, achieving a Word Error Rate (WER) of 32.85%.

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

Fine-tuned Odia automatic speech recognition model based on facebook/wav2vec2-large-xlsr-53, trained using Low Resource Indian Language Challenge data

An Arabic automatic speech recognition model fine-tuned based on facebook/wav2vec2-large-xlsr-53, achieving a WER of 52% on the Common Voice Arabic dataset.

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

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

A Lithuanian speech recognition model fine-tuned from Facebook's XLSR-53 large model, trained on the Common Voice dataset with a test WER of 56.55%.

A speech recognition model fine-tuned with Portuguese data from public speech datasets, based on Facebook's wav2vec2-large-xlsr-53 model

A Catalan automatic speech recognition (ASR) model fine-tuned from the facebook/wav2vec2-large-xlsr-53 model, trained on the Common Voice Catalan dataset with a word error rate (WER) of 8.11%.

This model is a fine-tuned speech recognition model based on facebook/wav2vec2-large-xlsr-53 on a specific Spanish dataset