# Tamil speech recognition

This model is a speech recognition model fine-tuned on the Tamil Common Voice 17.0 dataset based on OpenAI's Whisper Small, with a Word Error Rate (WER) of 43.23%.

IndicConformer is a Conformer automatic speech recognition model based on hybrid CTC-RNNT architecture, specifically optimized for Tamil

Tamil speech recognition model fine-tuned based on OpenAI Whisper-large-v2, trained on multiple public Tamil ASR corpora

A Tamil automatic speech recognition model fine-tuned based on OpenAI Whisper-small, trained on multiple public datasets with excellent word error rate performance.

A Whisper-medium model fine-tuned on multiple public Tamil ASR corpora, supporting Tamil speech recognition

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

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

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

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

Tamil automatic speech recognition (ASR) model fine-tuned from facebook/wav2vec2-large-xlsr-53

This is a Tamil speech recognition model based on the Wav2Vec2 architecture, capable of converting Tamil speech into text.

A Tamil speech recognition model fine-tuned from facebook/wav2vec2-large-xlsr-53, trained on the Common Voice Tamil dataset.

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

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

This is an automatic speech recognition (ASR) model fine-tuned on the Egyptian Arabic dialect based on the facebook/wav2vec2-large-xlsr-53 model, trained using the Common Voice dataset.

An automatic speech recognition model fine-tuned on the Tamil language using the Common Voice dataset, based on facebook/wav2vec2-large-xlsr-53.

This is an automatic speech recognition model fine-tuned on the Tamil Common Voice dataset based on facebook/wav2vec2-large-xlsr-53.

Tamil automatic speech recognition model based on Wav2Vec2 architecture, developed by Harveen Chadha, fine-tuned on 4200 hours of Hindi data

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.