Tool to make high quality text to speech (tts) corpus from audio + text books.

First it transcribes audio with whisper ASR, saving all word level timestamps, then it alligns this transcription with original text, if distance is very small we consider it as match and add it to the dataset.

First, you should install several system dependancies:

On deb linux:

sudo apt install ffmpeg pandoc

on MacOSX:

brew install ffmpeg pandoc libmagic

Then you can install narizaka:

pip install narizaka

or if you want to use the latest development version:

pip install git+https://github.com/patriotyk/narizaka.git

Also if you plan to modify sources:

git clone https://github.com/patriotyk/narizaka.git
pip install -e narizaka/

Flag -e means that you can edit source files in the directory where you have cloned this project and they will be reflected when you run command narizaka

Every tagged commit on the main branch, automatically generates and pushes image to the docker hub. So you can also pull this images:

docker pull patriotyk/narizaka:latest

Application as input accepts directory that contains audio data, it can be folder or subfolder of audio files, or just one audio file and there also should be one text file tat represents this audio. This text file, can be any document that accepts pandoc application. Example:

narizaka test_data/farshrutka 

Or

narizaka test_data

to process all books.

This repository contains test_data that includes two audio and text books that you can use for testing.