A Recipe for the TIMIT corpus.

The TIMIT corpus can be purchased from the LDC LDC93S1.

The data is mapped from 61 to 39 phonemes for training and testing. The map used here is taken from the Kaldi TIMIT recipe.

Prerequisites

download the data from the LDC LDC93S1. You will have timit_LDC93S1.tar.
unpack file

tar -xf timit_LDC93S1.tar

install sph2pipe see https://www.ldc.upenn.edu/language-resources/tools/sphere-conversion-tools:

wget https://www.ldc.upenn.edu/sites/www.ldc.upenn.edu/files/ctools/sph2pipe_v2.5.tar.gz
tar -xzf sph2pipe_v2.5.tar.gz && cd sph2pipe_v2.5
gcc -o sph2pipe *.c -lm

Preparation of audio and text data

To prepare the audio and text data for training/evaluation run (set necessary paths instead of [...])

python3 prepare.py --src [...]/timit --dst [...] --sph2pipe [...]/sph2pipe_v2.5/sph2pipe

The following structure will be generated

tree -L 2
.
├── audio
│   ├── test
│   ├── train
│   └── valid
├── lists
│   ├── test.lst
│   ├── test.phn.lst
│   ├── train.lst
│   ├── train.phn.lst
│   ├── valid.lst
│   └── valid.phn.lst
├── text
│   ├── test.phn.txt
│   ├── test.txt
│   ├── train.phn.txt
│   ├── train.txt
│   ├── valid.phn.txt
│   └── valid.txt
├── timit
│   ├── CONVERT
│   ├── README.DOC
│   ├── SPHERE
│   └── TIMIT
└── timit_LDC93S1.tar