This repository contains the code to reproduce the core results from the paper Learning Latent Representations for Speech Generation and Transformation.
To cite this work, please use
@inproceedings{hsu2017learning,
title={Learning Latent Representations for Speech Generation and Transformation},
author={Hsu, Wei-Ning and Zhang, Yu and Glass, James},
booktitle={Interspeech},
pages={1273--1277},
year={2017},
}
This project uses Python 2.7.6. Before running the code, you have to install
The former 6 dependencies can be installed using pip by running
pip install -r requirements.txt
The last one requires Kaldi before a specific commit (d1e1e3b). If you don't have
Kaldi before that version, you can install both Kaldi and Kaldi-Python by running
make all
The code structure follows Kaldi's convention. Scripts for each dataset can be found in
egs/<dataset> folder. If you have questions, please write an email to wnhsu@csail.mit.edu
To reproduce the experiments for TIMIT, run:
cd egs/timit
./run_spec.sh --TIMIT_RAW_DATA <timit_raw_data_dir>
