# XLS-R fine-tuning

A Nynorsk automatic speech recognition model fine-tuned based on Facebook/Meta's XLS-R feature extractor, achieving a WER of 11.32% on the NPSC test set.

This is a speech recognition model fine-tuned on Filipino speech datasets based on the wav2vec2-large-xlsr-53-english model, supporting English and Filipino speech-to-text tasks.

A speech recognition model fine-tuned on Kaqchikel audio data based on facebook/wav2vec2-xls-r-300m

A Polish speech recognition model fine-tuned on the GOOGLE/XTREME_S - MLS.PL dataset based on facebook/wav2vec2-xls-r-300m

This model is a fine-tuned automatic speech recognition model based on facebook/wav2vec2-xls-r-1b on Lithuanian dataset

An automatic speech recognition model fine-tuned on Indonesian speech data based on Facebook's XLS-R-300M model

An automatic speech recognition model fine-tuned on the Common Voice 8 Bulgarian dataset based on facebook/wav2vec2-xls-r-300m

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

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_7_0 dataset, designed for Assamese automatic speech recognition tasks.

This is a Wolof automatic speech recognition model fine-tuned based on facebook/wav2vec2-xls-r-300m, aimed at addressing the scarcity of Wolof language resources.

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

This model is an automatic speech recognition model fine-tuned on the Common Voice 8 Chuvash dataset based on facebook/wav2vec2-xls-r-1b

This model is an automatic speech recognition (ASR) model fine-tuned on the NBAILAB/NPSC - 48K_MP3 dataset based on facebook/wav2vec2-xls-r-300m

This model is an automatic speech recognition model fine-tuned on the NBAILAB/NPSC - 48K_MP3 dataset based on KBLab/wav2vec2-large-voxrex

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

Hausa automatic speech recognition model fine-tuned from facebook/wav2vec2-xls-r-300m

This is an automatic speech recognition model fine-tuned on the Common Voice 8.0 Urdu dataset based on the XLS-R architecture, with a word error rate (WER) of 47.38.

Hindi speech recognition model fine-tuned from facebook/wav2vec2-xls-r-300m, trained on Openslr multilingual corpus and Common Voice 7.0 dataset

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 model is an Urdu automatic speech recognition (ASR) model fine-tuned on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - UR dataset based on facebook/wav2vec2-xls-r-300m

This is an automatic speech recognition (ASR) model fine-tuned on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - AB dataset, based on the XLS-R architecture

Norwegian automatic speech recognition model fine-tuned based on Facebook/Meta's XLS-R feature extractor, achieving a 6.33% word error rate on the NPSC test set

This is a Hausa automatic speech recognition model fine-tuned from facebook/wav2vec2-xls-r-300m, trained on the Common Voice 8.0 dataset.

This is an automatic speech recognition model fine-tuned on the Upper Sorbian (HSB) dataset based on facebook/wav2vec2-xls-r-300m, achieving a word error rate (WER) of 0.4393 on the Common Voice 8 test set.

This model is an automatic speech recognition model fine-tuned on Hungarian language datasets based on facebook/wav2vec2-xls-r-300m

Swahili automatic speech recognition model fine-tuned from facebook/wav2vec2-xls-r-300m, trained on Common Voice 8 dataset