# XLS-R Architecture

An automatic speech recognition model fine-tuned using the Common Voice 7.0 French dataset, based on the facebook/wav2vec2-xls-r-300m model

This model is a speech recognition model fine-tuned on the common_voice_9_0 dataset based on facebook/wav2vec2-xls-r-300m, supporting Portuguese speech-to-text tasks.

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

A speech recognition model fine-tuned using the uob_singlish dataset based on the facebook/wav2vec2-xls-r-300m pre-trained model

This model is a fine-tuned version of wav2vec2-xls-r-300m-mixed based on the uob_singlish dataset, specializing in Singapore English speech recognition.

This is a German speech recognition model based on the wav2vec 2.0 XLS-R 1B architecture, incorporating TEVR (Token Entropy Variance Reduction) technology and combined with a 5-gram language model. It achieves a word error rate of 3.64% on the Common Voice German test set.

An English speech recognition model fine-tuned on the librispeech_asr dataset based on facebook/wav2vec2-xls-r-300m

A Hindi speech recognition model fine-tuned on the CommonVoice dataset based on facebook/wav2vec2-xls-r-300m

A fine-tuned speech recognition model based on facebook/wav2vec2-xls-r-300m, specialized in phoneme recognition tasks

This is a speech recognition model fine-tuned on Filipino speech datasets based on the wav2vec2-large-xlsr-53-english model

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

This model is a fine-tuned speech recognition model based on facebook/wav2vec2-xls-r-300m on the GOOGLE/XTREME_S - VOXPOPULI.EN dataset, supporting English speech-to-text tasks.

A speech recognition model fine-tuned on the CommonVoice Turkish dataset based on facebook/wav2vec2-xls-r-300m

This model is a Russian speech recognition model fine-tuned on the Common Voice dataset based on facebook/wav2vec2-xls-r-300m, achieving a word error rate of 0.468 on the evaluation set.

A speech recognition model fine-tuned on the Common Voice Turkish dataset based on facebook/wav2vec2-xls-r-300m

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

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

An automatic speech recognition model fine-tuned on the Common Voice 8.0 international language dataset based on facebook/wav2vec2-xls-r-300m

This is an automatic speech recognition model fine-tuned on Hausa speech data based on facebook/wav2vec2-xls-r-300m

A speech recognition model fine-tuned on the Common Voice dataset based on facebook/wav2vec2-xls-r-300m

This model is an automatic speech recognition (ASR) model fine-tuned on the German subset of the multilingual LibriSpeech dataset, based on facebook/wav2vec2-xls-r-100m

A speech recognition model fine-tuned on the common_voice dataset based on facebook/wav2vec2-xls-r-300m

A speech recognition model fine-tuned on the Spanish Common Voice dataset, based on the facebook/wav2vec2-xls-r-300m architecture, achieving a WER of 14.6% on the test set

An automatic speech recognition model based on XLS-R architecture, optimized for Cantonese (zh-HK), fine-tuned on the Common Voice dataset and enhanced with a 5-gram language model.

An automatic speech recognition model fine-tuned on the Common Voice 8.0 Abkhazian dataset based on xls-r-dummy

Korean automatic speech recognition model based on XLS-R architecture, fine-tuned on the Zeroth Korean dataset

Based on Facebook's wav2vec2-xls-r-300m model, fine-tuned on the Common Voice German dataset, supporting German speech recognition with preserved text case information.

A Hindi speech recognition model fine-tuned on the Common Voice dataset based on facebook/wav2vec2-xls-r-300m

A fine-tuned Bengali automatic speech recognition model based on facebook/wav2vec2-xls-r-300m, trained using the OPENSLR_SLR53 dataset

This is an automatic speech recognition (ASR) model fine-tuned on the Marathi speech dataset based on Facebook's wav2vec2-xls-r-300m model.

A speech recognition model fine-tuned on the TIMIT dataset based on the facebook/wav2vec2-xls-r-300m model

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

Korean automatic speech recognition model based on XLS-R architecture, fine-tuned on the Zeroth Korean dataset with an added 5-gram language model

A speech recognition model fine-tuned on the Common Voice dataset based on facebook/wav2vec2-xls-r-300m

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset for Hindi speech recognition tasks.

This is an automatic speech recognition (ASR) model fine-tuned on the Common Voice 8.0 French dataset based on facebook/wav2vec2-xls-r-300m

This is an automatic speech recognition (ASR) model fine-tuned on a Hindi dataset based on the facebook/wav2vec2-xls-r-300m model, specifically designed for Hindi speech recognition tasks.

Hindi speech recognition model trained on the common_voice dataset

An automatic speech recognition model fine-tuned on Serbian (sr) dataset based on facebook/wav2vec2-xls-r-300m

This is an Urdu automatic speech recognition model based on the wav2vec2 architecture, fine-tuned on the Common Voice 8.0 Urdu dataset