Project AURIONAI Use-Cases Research & Innovation
Naver
speech synthesis

Parallel WaveGAN

Fast, small distillation-free waveform generator trained with adversarial and multi-resolution spectrogram losses.

NaverNaverSouth Korea
Diagram of Parallel WaveGAN training with the generator, discriminator and multi-resolution STFT loss.
Levelmodel
Classspeech synthesis
Parametersnot in the notes
Contextnot in the notes
Released25 Oct 2019
Opennessunknown
Runs onnot in the notes
Statusactive

R&D Topics

Neural vocodersproduced by

Identity

Developer
Naver
Family
not in the notes
Released
25 Oct 2019 sourcesannouncement page
Weights published
–
Record checked
12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
other non-autoregressive WaveNet trained with GAN and spectrogram losses
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Context length
not in the notes
Input
audio
Output
audio
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
unknown
Licence
not in the notes sources
Access routes
not in the notes
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
not in the notes
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Benchmark Results

The notes record no benchmark result for this model.

Lineage

The notes record no lineage for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. arxiv.org/abs/1910.11480 https://arxiv.org/abs/1910.11480
  2. github.com/kan-bayashi/ParallelWaveGAN https://github.com/kan-bayashi/ParallelWaveGAN

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Parallel WaveGAN", https://aurion.semai.id/models/naver-parallel-wavegan/, records of October 2026.