Dhivehi TTS Demo

This repository contains demo code to work with the Dhivehi.ai pretrained tts. For documented usage, check out the notebooks.

Limitations:

• Requires additional phonemization for numbers, dates etc
• Model is not optimized against retracting

Setup

• Install dependencies pip install -r requirements.txt
• Download pre-trained models (see below) in an appropriate path.
  ex: gdown --id <file_id>

Usage

Command Line Interface

usage: dv_speak.py [-h] [--model MODEL] [--output OUTPUT] [--speed SPEED] text

positional arguments:
  text                  The text to speak out

optional arguments:
  -h, --help            show this help message and exit
  --model MODEL, -m MODEL
                        Path to downloaded models
  --output OUTPUT, -o OUTPUT
                        Output audio path
  --speed SPEED, -s SPEED
                        Readout speed

Sample Usage:
python3 dv_speak.py --model path_to_models --output out.wav --speed 0.9 "ހެލޯ ދިވެހި"

Streamlit Service

We provide a basic streamlit script to run inference as well. The script streamlit_speak.py can be run like:

streamlit run streamlit_speak.py -- -m path_to_model

Pretrained Models

Currently we provide the following pre-trained models

Name	Type	file_id
DV Male v1	TTS	1KXAl8823lemgovmwYzU43U5JyXx-BG6p
DV Female v1	TTS	1T0RyRKizHMY8r9ZS5Z_fy45TBSXAlNH5