data_prep/README.md

data_prep

This directory contains the following data preparation scripts:

1. MFA data preparation: Code for extracting phone alignments by Montréal Forced Aligner (MFA)
2. Style prompt data preparation: Code for preparing synthetic annotations of style prompts.

0. Download LibriTTS_R

Before running any scripts, be sure to put the LibriTTS-R dataset to ./LibriTTS_R. You must have the following directory structure:

LibriTTS_R/
├── BOOKS.txt
├── CHAPTERS.txt
├── LICENSE.txt
├── NOTE.txt
├── README_librispeech.txt
├── README_libritts.txt
├── README_libritts_r.txt
├── SPEAKERS.txt
├── dev-clean
├── dev-other
├── reader_book.tsv
├── speakers.tsv
├── test-clean
├── test-other
├── train-clean-100
├── train-clean-360
└── train-other-500

1. MFA data preparation

Setup for MFA

conda install -c conda-forge montreal-forced-aligner

mfa model download dictionary english_us_arpa
mfa model download acoustic english_us_arpa

Usage

Please check runall_mfa.sh for the usage.

Note that running MFA for all the utterances in LibriTTS-R takes a long time (likely a few days).

Directory structure

After all the data preparation steps, the following directories will be created:

• libritts_r_per_spk_cleaned
  • ${spk}
    • textgrid: text grid files
    • wav24k: 24kHz wav files

├── 100
│   ├── textgrid
│   └── wav24k
├── 1001
│   ├── textgrid
│   └── wav24k
├── 1006
│   ├── textgrid
│   └── wav24k
...

2. Style prompt data preparation

Code for estimating per-utterance style tags (e.g., low pitch, normal pitch and high pitch) from the data statistics.

Usage

Please check runall_style_prompt_tags.sh for the usage.