/ Natural Language Processing

A multispeaker voice synthesis model based on Tacotron 2 GST

A multispeaker voice synthesis model based on Tacotron 2 GST

Mellotron

Mellotron: a multispeaker voice synthesis model based on Tacotron 2 GST that can make a voice emote and sing without emotive or singing training data.

In our recent paper we propose Mellotron: a multispeaker voice synthesis model based on Tacotron 2 GST that can make a voice emote and sing without emotive or singing training data.

By explicitly conditioning on rhythm and continuous pitch contours from an audio signal or music score, Mellotron is able to generate speech in a variety of styles ranging from read speech to expressive speech, from slow drawls to rap and from monotonous voice to singing voice.

Pre-requisites

  1. NVIDIA GPU + CUDA cuDNN

Setup

  1. Clone this repo: git clone https://github.com/NVIDIA/mellotron.git
  2. CD into this repo: cd mellotron
  3. Initialize submodule: git submodule init; git submodule update
  4. Install [PyTorch]
  5. Install [Apex]
  6. Install python requirements or build docker image
    • Install python requirements: pip install -r requirements.txt

Training

  1. Update the filelists inside the filelists folder to point to your data
  2. python train.py --output_directory=outdir --log_directory=logdir
  3. (OPTIONAL) tensorboard --logdir=outdir/logdir

Training using a pre-trained model

Training using a pre-trained model can lead to faster convergence
By default, the speaker embedding layer is [ignored]

  1. Download our published [Mellotron] model trained on LibriTTS
  2. python train.py --output_directory=outdir --log_directory=logdir -c models/mellotron_libritts.pt --warm_start

Multi-GPU (distributed) and Automatic Mixed Precision Training

  1. python -m multiproc train.py --output_directory=outdir --log_directory=logdir --hparams=distributed_run=True,fp16_run=True

Inference demo

  1. jupyter notebook --ip=127.0.0.1 --port=31337
  2. Load inference.ipynb
  3. (optional) Download our published WaveGlow model

GitHub