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NVIDIA
NVIDIA
FastPitch 1.0 for PyTorch
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NVIDIA
NVIDIA
FastPitch 1.0 for PyTorch

The FastPitch model generates mel-spectrograms from raw input text and allows to exert additional control over the synthesized utterances.

We're constantly refining and improving our performance on AI and HPC workloads even on the same hardware with frequent updates to our software stack. For our latest performance data please refer to these pages for AI and HPC benchmarks.

Changelog

August 2021

  • Improved quality of synthesized audio
  • Added capability to automatically align audio to transcripts during training without a pre-trained Tacotron 2 aligning model
  • Added capability to train on both graphemes and phonemes
  • Added conditioning on energy
  • Faster training recipe
  • F0 is now estimated with Probabilistic YIN (PYIN)
  • Updated performance tables
  • Changed version of FastPitch from 1.0 to 1.1

October 2020

  • Added multispeaker capabilities
  • Updated text processing module

June 2020

  • Updated performance tables to include A100 results

May 2020

  • Initial release

Known issues

There are no known issues with this model with this model.

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