# Wav2Vec2 architecture

Hindi automatic speech recognition model based on Wav2Vec2 architecture, developed by AI4Bharat

This is a speech language identification model based on the Wav2Vec2 architecture, capable of recognizing 4017 languages, and is part of Facebook's Massively Multilingual Speech project.

This model is part of Facebook's large-scale multilingual speech project, based on the Wav2Vec2 architecture, capable of identifying speech input in 1024 languages.

An audio classification model based on Wav2Vec2 architecture for identifying Puerto Rican, Colombian, Venezuelan, Peruvian, or Chilean Spanish accents

An Italian automatic speech recognition model fine-tuned from facebook/wav2vec2-large-fr-voxpopuli, trained using the Common Voice 7.0 Italian dataset

An Italian automatic speech recognition model fine-tuned from the facebook/wav2vec2-large-100k-voxpopuli model, trained using the Common Voice 7.0 Italian dataset.

Korean speech recognition model fine-tuned on the Ksponspeech dataset, optimized based on Wav2vec2-large-xlsr-53

This model is a fine-tuned Arabic speech recognition model based on facebook/wav2vec2-xls-r-300m on the Common Voice dataset, achieving a word error rate of 0.5078 on the evaluation set.

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

A speech recognition model fine-tuned on the TIMIT dataset based on the facebook/wav2vec2-base model, primarily used for English speech-to-text tasks.

A speech recognition model fine-tuned based on facebook/wav2vec2-large-xlsr-53, supporting Bemba language

A Tamil speech recognition model fine-tuned on the CommonVoice dataset, based on Harveenchadha/vakyansh-wav2vec2-tamil-tam-250

A speech recognition model fine-tuned based on facebook/wav2vec2-base, trained on 10ms masked audio tasks

This is a Marathi speech recognition model based on the Wav2Vec2 architecture, capable of directly converting speech to text.

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.

A Sanskrit speech recognition model based on the Wav2Vec2 architecture, capable of converting Sanskrit speech to text

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

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

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

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

A speech recognition model fine-tuned on Common Voice 8.0 Danish data based on facebook/wav2vec2-xls-r-300m

A Danish acoustic model fine-tuned on the Danish portion of Common Voice 8.0 data for speech recognition

This is an automatic speech recognition model fine-tuned on the Portuguese Common Voice 8.0 dataset based on Facebook's wav2vec2-xls-r-300m model

This is an Irish speech recognition model based on the Wav2Vec2 architecture, trained on the Common Voice dataset.

This is an automatic speech recognition model fine-tuned on Tamil language based on the facebook/wav2vec2-large-xlsr-53 model, trained using public speech corpus datasets.

This model is a speech recognition model fine-tuned on the LibriSpeech 100-hour dataset based on facebook/wav2vec2-large-lv60, achieving a low word error rate.