ParallelWaveGAN
Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN & HiFi-GAN & StyleMelGAN) with Pytorch
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
ParallelWaveGAN synthesizes speech from mel-spectrograms using PyTorch-based GANs with support for distributed multi-GPU training.
Good fit when
- When needing to generate natural speech from mel-spectrogram inputs, especially in environments requiring scalable GPU computing.
- For applications where high-quality speech synthesis aligning closely with input spectrogram patterns is critical.
Avoid when
- If you're working without access to a PyTorch-compatible GPU setup or need real-time processing capabilities not supported here.
- In scenarios preferring tools that don't require specific Python and library versions for compatibility.
Observed Jul 12, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Dormant (881d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/kan-bayashi/ParallelWaveGANSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A repository for generating realistic speech from mel-spectrograms using various PyTorch-based generative adversarial networks.
Capability facts
- Languages
- jupyter notebook
Source: github.language · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
Requirements This repository is tested on Ubuntu 20.04 with a GPU Titan V. Python 3.8+ Cuda 11.0+ CuDNN 8+ NCCL 2+ (for distributed multi gpu training) libsndfile (you can install via in ubuntu) jq (you can install via in ubuntu) sox (you can install via in ubuntu) Different cuda...
For agents
This page has a .md twin and JSON over the API.