sdab 0.1.0

Khmer Speech To Text Inference API using Wav2Vec2 with Pretrain Model

Sdab

Khmer Automatic Speech Recognition

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

Install From Source

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

# install lib from source (recommend python 3.8)
pip install -e .

Usage

from sdab import Sdab

file_path = "sample/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

Reference

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