# Robust speech processing

An audio classification model based on the wav2vec2 architecture, fine-tuned on the privateSLI dataset for age and gender recognition tasks

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

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 is an automatic speech recognition model fine-tuned on the Swedish Common Voice 7.0 dataset based on facebook/wav2vec2-xls-r-300m

This model is a speech recognition model fine-tuned on the common_voice dataset based on facebook/wav2vec2-large-xlsr-53, primarily used for robust speech event recognition.

Automatic speech recognition model fine-tuned on the Romansh Sursilvan dialect dataset based on facebook/wav2vec2-xls-r-300m

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

This is an automatic speech recognition model fine-tuned on Latvian datasets based on facebook/wav2vec2-xls-r-300m, achieving a WER of 16.98% on the Common Voice 7 test set.

Portuguese speech recognition model fine-tuned on the Common Voice dataset based on Edresson/wav2vec2-large-xlsr-coraa-portuguese

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

This is a multilingual speech recognition model supporting Indonesian, Javanese, and Sundanese, fine-tuned from facebook/wav2vec2-large-xlsr-53.

This is a Portuguese automatic speech recognition (ASR) model based on the wav2vec2 XLS-R architecture, fine-tuned on the Common Voice 7 dataset, achieving a word error rate (WER) of 12.13% on the test set.

An automatic speech recognition model fine-tuned on the Common Voice Indonesian dataset based on facebook/wav2vec2-xls-r-1b

This is a Telugu automatic speech recognition (ASR) model fine-tuned based on the facebook/wav2vec2-xls-r-2b model, trained on the OpenSLR SLR66 dataset

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

This is an automatic speech recognition (ASR) model fine-tuned on the Slovenian language (Common Voice 8.0) dataset based on the facebook/wav2vec2-xls-r-300m model, with improved recognition performance through language model (LM) integration.

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

An automatic speech recognition model fine-tuned on the Common Voice 8 Dutch dataset based on facebook/wav2vec2-xls-r-300m, including a 6-gram KenLM language model

This is an automatic speech recognition model based on the wav2vec2 architecture, specifically optimized for the Tamil language and supporting Nepali speech recognition tasks.

This is an automatic speech recognition model based on the XLS-R architecture, specifically optimized for Dutch and Flemish, incorporating a 5-gram language model to improve recognition accuracy.

This model is an automatic speech recognition model fine-tuned on the Galician dataset based on facebook/wav2vec2-xls-r-300m, achieving a WER of 11.31% on the Common Voice 8.0 test set.

This is an automatic speech recognition model fine-tuned on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - SAT dataset based on facebook/wav2vec2-xls-r-300m, supporting Santali (Ol Chiki) language.

A speech recognition model fine-tuned on Breton (Common Voice 8.0) based on facebook/wav2vec2-xls-r-300m

An automatic speech recognition model fine-tuned on the Common Voice 8 Maltese dataset based on facebook/wav2vec2-xls-r-1b