# XLS-R architecture

Frisian speech recognition model based on the wav2vec2-large-xls-r-1b architecture, specifically optimized for elderly users

This model is a speech recognition model fine-tuned on the Common Voice Turkish dataset based on facebook/wav2vec2-xls-r-300m, achieving a word error rate of 30.36% on the evaluation set.

This model is a speech recognition model fine-tuned on the CommonVoice Turkish dataset based on facebook/wav2vec2-xls-r-300m, achieving a word error rate of 29.04% on the evaluation set.

This model is a Turkish speech recognition model fine-tuned on the common_voice Turkish dataset based on facebook/wav2vec2-xls-r-300m, achieving a word error rate of 32.08% on the evaluation set.

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

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

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

This model is a Finnish speech recognition model fine-tuned from facebook/wav2vec2-xls-r-300m on a general speech dataset.

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

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

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

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

Audio classification model based on XLS-R architecture for distinguishing adult/child speech in Indonesian

This is a Turkish speech recognition model based on the wav2vec2 architecture, fine-tuned on the common_voice dataset

This is a Turkish speech recognition model based on the wav2vec2 architecture, fine-tuned on the Common Voice dataset with a word error rate (WER) of 0.3634.

This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-english on the filipino_voice dataset, designed for English-Filipino speech recognition tasks.

English-Filipino speech recognition model fine-tuned based on jonatasgrosman/wav2vec2-large-xlsr-53-english

This model is an automatic speech recognition (ASR) model based on the wav2vec2-large-xls-r-300m architecture, fine-tuned on the Guarani speech dataset.

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

This is a speech recognition model fine-tuned on the Common Voice Irish dataset based on the facebook/wav2vec2-xls-r-300m model, primarily used for automatic speech recognition tasks in Irish.

This model is a fine-tuned speech recognition model based on facebook/wav2vec2-xls-r-300m on the Common Voice Turkish dataset, achieving a word error rate of 0.4444 on the evaluation set.

This model is a speech recognition model fine-tuned on the Common Voice Turkish dataset based on facebook/wav2vec2-xls-r-300m, achieving a word error rate of 0.3907 on the evaluation set.

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset, specializing in Scottish accent speech recognition.

A multilingual speech recognition model fine-tuned on the GOOGLE/XTREME_S - MINDS14.ALL dataset based on facebook/wav2vec2-xls-r-300m

A Slovenian speech recognition model fine-tuned from facebook/wav2vec2-xls-r-300m with language model support

An automatic speech recognition model fine-tuned on the GOOGLE/XTREME_S - MINDS14.FR-FR dataset based on facebook/wav2vec2-xls-r-300m

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

This model is an automatic speech recognition (ASR) model fine-tuned on the COMMON_VOICE - TR Turkish dataset based on facebook/wav2vec2-xls-r-100m.

This model is a fine-tuned speech recognition model based on Facebook's wav2vec2-xls-r-300m on the Common Voice Galician (gl) dataset, achieving a word error rate (WER) of 20.8% on the test set.

This is an automatic speech recognition model fine-tuned on the Greek Common Voice 8 dataset, based on the facebook/wav2vec2-xls-r-300m model.

This model is an automatic speech recognition model fine-tuned on the Abkhaz language dataset, based on the XLS-R architecture

This is an automatic speech recognition (ASR) model fine-tuned on the Common Voice 8.0 dataset based on the facebook/wav2vec2-xls-r-300m model, specifically optimized for the Guarani language (gn).

Facebook's Wav2Vec2 XLS-R model for multilingual speech-to-English translation tasks.

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

This is a Russian automatic speech recognition model based on the Wav2Vec2 XLS-R architecture with a parameter scale of 300m, evaluated on public speech and robust speech event datasets.

An automatic speech recognition (ASR) model fine-tuned on the Common Voice 7 Assamese (AS) dataset based on Facebook's wav2vec2-xls-r-300m model

This model is an automatic speech recognition model fine-tuned on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - AB dataset for xls-r-dummy

This model is a Korean automatic speech recognition model fine-tuned on the KRESNIK/ZEROTH_KOREAN - CLEAN dataset based on facebook/wav2vec2-xls-r-1b

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MULTILINGUAL_LIBRISPEECH - German 10-hour dataset for German speech recognition tasks.

Tamil speech recognition model based on wav2vec2-large-xls-r-300m architecture, fine-tuned on a general speech dataset