# Multi-dialect adaptation

This model is a speech recognition model fine-tuned on the Tamil Common Voice 17.0 dataset based on OpenAI's Whisper Small, with a Word Error Rate (WER) of 43.23%.

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

This model is a fine-tuned version of openai/whisper-small on Arabic datasets with diacritics, supporting Arabic speech-to-text tasks with diacritical marks.

Tamil speech recognition model fine-tuned based on OpenAI Whisper-large-v2, trained on multiple public Tamil ASR corpora

An Uzbek automatic speech recognition (ASR) model developed by the Oyqiz team, trained on the Common Voice 10.0 dataset

A Pashto (ps) speech recognition model fine-tuned based on OpenAI Whisper-small, trained on the FLEURS dataset

This model is a Danish speech recognition model fine-tuned by Siyam/SKYLy on the common_voice dataset

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

An Arabic speech recognition model fine-tuned from facebook/wav2vec2-xls-r-300m on the Common Voice Arabic dataset

An automatic speech recognition model fine-tuned on Mongolian datasets based on facebook/wav2vec2-xls-r-300m

A large-scale cross-lingual speech recognition model based on the Wav2Vec2 architecture, specifically optimized for Spanish, released by Facebook

This model is a fine-tuned automatic speech recognition model based on facebook/wav2vec2-xls-r-300m on the Common Voice 8.0 Kyrgyz dataset

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.

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

An automatic speech recognition (ASR) model fine-tuned on the Guarani (gn) Common Voice 8.0 dataset based on the facebook/wav2vec2-xls-r-300m model

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

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

This model is a Swedish automatic speech recognition model fine-tuned on the COMMON_VOICE - SV-SE dataset based on facebook/wav2vec2-large-xlsr-53.

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

Urdu automatic speech recognition model based on wav2vec2 architecture, fine-tuned on Common Voice dataset

This is a speech recognition model fine-tuned on the Yakut (Sakha) language dataset based on the facebook/wav2vec2-xls-r-300m model

A Turkish speech recognition model based on the Wav2Vec2 architecture, optimized for Turkish language.

This is an automatic speech recognition (ASR) model fine-tuned on Dhivehi speech datasets based on the facebook/wav2vec2-xls-r-1b model.

This is an automatic speech recognition (ASR) model fine-tuned on the Common Voice 8 dataset based on the facebook/wav2vec2-xls-r-300m model, supporting Guarani (gn).

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

This model is a fine-tuned automatic speech recognition model for Breton based on facebook/wav2vec2-xls-r-1b.

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

A speech recognition model fine-tuned on the Spanish Common Voice dataset based on Facebook's wav2vec2-large-xlsr-53 model, with a test WER of 10.50%.

This is an automatic speech recognition model fine-tuned on the Common Voice Abkhaz (ab) dataset based on the XLS-R architecture

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 is an automatic speech recognition model fine-tuned on the Abkhazian (ab) dataset based on Facebook's wav2vec2-xls-r-300m model

This is a speech recognition model fine-tuned on Breton language dataset based on facebook/wav2vec2-xls-r-300m, achieving a 52.3% Word Error Rate (WER) on the Common Voice 8 test set.

Gulf Arabic POS tagging model fine-tuned from CAMeLBERT-Mix, trained on Gumar 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 model is an automatic speech recognition (ASR) model fine-tuned on the Urdu Common Voice dataset based on Facebook's Wav2Vec2-Large-XLSR-53

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

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

XLSR-1B-bokmaal-low is an automatic speech recognition (ASR) model focused on low-resource speech recognition tasks for Norwegian Bokmål.

Modern Standard Arabic POS tagging model fine-tuned on CAMeLBERT-Mix, trained using PATB dataset

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