Sdab is a Python package for Automatic Speech Recognition with focus on Khmer language. It have offline khmer automatic speech recognition model from my Pretrain Model and other that using Wav2Vec2 model.

License: Apache-2.0 License

Pretrain Model: Huggingface

pip install sdab

# clone repo 
git clone https://github.com/MetythornPenn/sdab.git

# install lib from source
pip install -e .

wget -O audio.wav https://github.com/MetythornPenn/sdab/blob/main/sample/audio.wav

from sdab import Sdab

file_path = "audio.wav"
model_name = "metythorn/khmer-asr-openslr"  # or local directory path

sdab = Sdab( file_path = file_path, model_name = model_name)
print(sdab.result)

# result : ស្ពានកំពងចំលងអ្នកលើងនៅព្រីវែញជាស្ពានវេញជាងគេសក្នុងព្រសរាជាអាចកម្ពុជា

• file_path: path of audio file
• model_name : pretrain model path from huggingface or local
• device : should be cpu or cuda but I use cpu by default
• tokenized: show [PAD] in output, False by default
• return: Khmer text from ASR

• Inspired by Bong Vitou Phy | Techcast
• Khmer word segmentation from SeangHay khmercut | khmersegment
• Wav2Vec2 from Facebook Wav2Vec2