# Common Voice fine-tuning

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

Uzbek automatic speech recognition model fine-tuned from OpenAI Whisper Medium

Uzbek speech recognition model fine-tuned on Whisper Base, trained on the Common Voice dataset

Uzbek automatic speech recognition model fine-tuned from OpenAI Whisper-small on Common Voice 17.0 dataset

Spanish speech recognition model fine-tuned based on Whisper-large-v3-turbo, achieving a word error rate reduction to 5.34% on the Common Voice 17.0 Spanish dataset

This model is an automatic speech recognition (ASR) model fine-tuned on the Azerbaijani Common Voice 17.0 dataset based on OpenAI's Whisper Large v3, achieving a word error rate (WER) of 1.195%.

A speech recognition model fine-tuned on the Common Voice 17.0 Turkish dataset based on OpenAI Whisper-large-v3

This model is a Russian automatic speech recognition model fine-tuned on the Common Voice 14.0 dataset based on openai/whisper-tiny.

A speech recognition model fine-tuned on the Common Voice 11.0 Russian dataset based on OpenAI Whisper-base

A Russian text-to-speech model fine-tuned on the Common Voice 13 dataset based on microsoft/speecht5_tts

A Swedish text-to-speech model fine-tuned based on Microsoft's SpeechT5 architecture, trained using the Common Voice dataset

Turkish speech recognition model fine-tuned based on OpenAI Whisper Medium, trained on the Common Voice 11.0 dataset

A speech recognition model fine-tuned on the Hungarian Common Voice dataset based on OpenAI Whisper Large-V2

This model is a fine-tuned version of OpenAI's Whisper Large-V2 for Hausa speech recognition tasks, trained on the Common Voice 11.0 dataset

This model is a speech recognition model fine-tuned on the Common Voice 11.0 Slovenian dataset based on OpenAI's Whisper Large-V2 model, with a word error rate of 13.83%.

An automatic speech recognition (ASR) model fine-tuned on Bengali speech datasets based on OpenAI Whisper Large-v2

Tamil automatic speech recognition (ASR) model fine-tuned based on OpenAI Whisper Large-v2, achieving 8.45% word error rate on Common Voice 11.0 Tamil test set

This is a fine-tuned version of the OpenAI Whisper Large V2 model for Malayalam speech recognition tasks, trained using the Common Voice 11.0 dataset

A speech recognition model fine-tuned on the Portuguese Common Voice 11 dataset based on OpenAI's Whisper-large-v2 model

Punjabi automatic speech recognition model fine-tuned on OpenAI Whisper-large-v2, trained on Common Voice 11.0 dataset

This model is an automatic speech recognition (ASR) model based on OpenAI's Whisper Small architecture, fine-tuned on the Common Voice 11.0 Vietnamese dataset

An automatic speech recognition model fine-tuned on Cantonese dataset based on OpenAI Whisper Large V2, achieving a character error rate of 6.7274% on the test set

A French automatic speech recognition model fine-tuned based on the facebook/wav2vec2-large-fr-voxpopuli model, trained using the Common Voice 7.0 French dataset.

A speech recognition model fine-tuned using the Common Voice 7.0 (French) dataset, based on the microsoft/unispeech-large-1500h-cv model

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.

A Thai speech recognition model fine-tuned based on facebook/wav2vec2-large-lv60, trained using the Common Voice 7.0 dataset

This is a model designed for English speech recognition tasks, based on a randomly initialized wav2vec2 architecture and fine-tuned using the Common Voice 7.0 dataset.

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

A Cantonese fine-tuned speech recognition model based on facebook/wav2vec2-large-xlsr-53 using the Common Voice corpus version 8.0

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

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).

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

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

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

Portuguese automatic speech recognition model based on WavLM-large architecture, fine-tuned on the Common Voice 7.0 dataset

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

Automatic speech recognition model fine-tuned on Tamil dataset based on facebook/wav2vec2-xls-r-300m

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the Common Voice dataset for Hindi speech recognition tasks.

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