Voiceloop TensorFlow

Copyright 2017-present, Facebook, Inc. All rights reserved.

This source code is licensed under the license found in the LICENSE file in the root directory of this source tree.

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This code is a test in trying to recreate https://github.com/facebookresearch/loop in tensorflow

to run code with our setup:

bash run_prj.sh

Setup

Requirements: Linux, Python3.5 and Tensorflow 1.4

git clone https://github.com/facebookresearch/loop.git
cd loop
pip3 install -r scripts/requirements.txt

Data

The data used to train the models in the paper can be downloaded via:

bash scripts/download_data.sh

The script downloads and preprocesses a subset of VCTK. This subset contains speakers with american accent.

The dataset was preprocessed using Merlin - from each audio clip we extracted vocoder features using the WORLD vocoder. After downloading, the dataset will be located under subfolder data as follows:

loop
├── data
    └── vctk
        ├── norm_info
        │   ├── norm.dat
        ├── numpy_feautres
        │   ├── p294_001.npz
        │   ├── p294_002.npz
        │   └── ...
        └── numpy_features_valid

The preprocess pipeline can be executed using the following script by Kyle Kastner: https://gist.github.com/kastnerkyle/cc0ac48d34860c5bb3f9112f4d9a0300.