# Cantonese speech recognition

A Cantonese automatic speech recognition model fine-tuned on Whisper v3, trained on the Common Voice 17 dataset

This is a distilled Cantonese speech recognition model based on Whisper Small, achieving a CER of 9.7 (without punctuation) on Common Voice 16.0.

A Cantonese automatic speech recognition (ASR) model fine-tuned based on OpenAI Whisper Large V2, trained on the Common Voice 11.0 Cantonese dataset with a character error rate (CER) of 6.21%.

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

Cantonese automatic speech recognition model based on XLS-R architecture, fine-tuned on Common Voice Cantonese dataset

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