Automatic Speech Recognition is a model deep learning to convert speech into text. This model is trained using the OpenSLR dataset. The dataset used is the Javanese language dataset. The dataset is divided into 2 parts, namely train, and validation. The dataset is trained using the wav2vec2 based model from Facebook.

git clone https://github.com/JohanesSetiawan/asr-javanese-api.git

pip install Flask flask-cors huggingsound pyngrok

if you using server, and not the local machine.

or

pip install Flask flask-cors huggingsound

if you using local machine.

python api.py

Paste the API link that appears in the terminal to the transcribe.php file, in the:

url: "<FLASK_API>/transcribe", // Flask server API endpoint variable.

and the endpoint will be:

/transcribe

Javanese Model

Base Model

Training Code

You can use API in locally or using Google Colab to run API.