KLEA

An open-source Khmer Word to Speech Model. Just single word not sentence!

1. Setup

pip install -r requirements.txt

2. Download Checkpoint

G_60000.pth

wget https://huggingface.co/spaces/seanghay/KLEA/resolve/main/G_60000.pth

Place the checkpoint in the current directory.

3. Inference

python infer.py "មនុស្សខ្មែរ"

This will output a file called audio.wav in the current directory. Output audio sample rate is 22.05 kHz.

Gradio

python app.py

Colab

Dataset

This model was trained on kheng.info dataset. You can find it on http://kheng.info or at https://hf.co/datasets/seanghay/khmer_kheng_info_speech

Reference

• VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
• kheng.info is an online audio dictionary for the Khmer language with over 3000 recordings. Kheng.info is backed by multiple dictionaries and a large text corpus, and supports search in English and Khmer with search results ordered by word frequency.