c1niv / Voiceloop_TensorFlow

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.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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.