# 16kHz sampling

A speech recognition model fine-tuned on the Common Voice 11.0 German dataset based on openai/whisper-small, supporting German speech-to-text with case and punctuation prediction.

This model is pretrained on 1.5k hours of Vietnamese speech data, suitable for Vietnamese speech recognition tasks, requires fine-tuning before use.

HuBERT-Large is a self-supervised speech representation learning model fine-tuned on 960 hours of LibriSpeech data for automatic speech recognition tasks.

A speech recognition model fine-tuned on Japanese accent datasets based on facebook/wav2vec2-large-xlsr-53

An automatic speech recognition model fine-tuned on the Common Voice French dataset based on facebook/wav2vec2-large-xlsr-53, with a test WER of 34.86%.