jik876/hifi-gan
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2149
- days_rel: n/a
- days_push: 767
- n_releases_24m: 0
Adoption not part of the score
2367 stars · 557 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
The official PyTorch implementation of HiFi-GAN, a generative adversarial network that converts mel-spectrograms into high-fidelity 22.05 kHz audio faster than real time on a single GPU. It ships with training scripts, multiple generator configurations, and pretrained checkpoints for LJSpeech and VCTK, including versions fine-tuned for Tacotron2 and universal multi-speaker use.
Use cases
- convert mel-spectrograms to audio waveforms
- add a vocoder to a text-to-speech pipeline
- generate high fidelity speech from spectrograms
- train a GAN vocoder on my own dataset
- download a pretrained vocoder model
- run real-time speech synthesis on GPU or CPU
- fine-tune a vocoder for Tacotron2 output
When to choose
- You need a proven, high-quality vocoder with ready-to-use pretrained checkpoints (LJSpeech, VCTK, Tacotron2 fine-tuned)
- You want faster-than-real-time waveform generation, including a small-footprint model that runs 13x faster than real time on CPU
- You are reproducing the HiFi-GAN paper or building research on top of it
- You work in Python/PyTorch and want reference training and inference code
When to avoid
- You need a complete end-to-end TTS system - this is a vocoder only, with no text normalization, phonemization, or acoustic model included
- You need ONNX, TensorFlow, or non-Python deployment support - the official code is PyTorch-only
- You require guaranteed ongoing maintenance or new features - the repo is a research artifact updated sporadically
- You need production streaming or low-latency chunked inference support out of the box
Facets
library · maturity stable
tts audio-processing machine-learning deep-learning speech-processing deep-learning machine-learning artificial-intelligence python cli cross-platform vocoder gan speech-synthesis mel-spectrogram-inversion pytorch pretrained-models text-to-speech research-implementation audio gpu
1 source
- readme: https://github.com/jik876/hifi-gan · fetched 2026-08-28 · 5fad2885568c
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| jik876/hifi-gan | main | 32 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem