auspicious3000/autovc
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss 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: 2668
- days_rel: n/a
- days_push: 680
- n_releases_24m: 0
Adoption not part of the score
1100 stars · 215 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
AUTOVC is a PyTorch implementation of a many-to-many non-parallel voice conversion framework that performs zero-shot voice style transfer using only an autoencoder with a carefully designed bottleneck. It includes pre-trained models, notebook-based conversion pipelines, and a WaveNet/HiFi-GAN vocoder for waveform synthesis.
Use cases
- convert a voice recording to sound like a target speaker
- perform zero-shot voice conversion without target speaker training data
- do many-to-many voice conversion from non-parallel speech data
- retrain a voice conversion model on my own speech dataset
- synthesize waveforms from mel-spectrograms with a vocoder
- reproduce the ICML 2019 AutoVC paper results
When to choose
- you need research-grade non-parallel or zero-shot voice conversion in PyTorch
- you want pre-trained models to convert voices without training from scratch
- you are reproducing or building on the AutoVC paper
When to avoid
- you need real-time or production voice conversion with modern quality
- you want a maintained tool with active support
- you need text-to-speech rather than voice-to-voice conversion
Facets
library · maturity maintenance
machine-learning audio-processing speech-recognition speech-processing machine-learning artificial-intelligence python voice-conversion speech-synthesis autoencoder zero-shot pytorch wavenet-vocoder style-transfer audio
6 sources
- readme: https://github.com/auspicious3000/autovc · fetched 2026-08-28 · e6d1a2a6b429
- homepage: https://arxiv.org/abs/1905.05879 · fetched 2026-08-29 · 34e16ccbc0db
- site_page: https://info.arxiv.org/about/donate.html · fetched 2026-08-29 · cca9c3a11c56
- site_page: https://info.arxiv.org/about/ourmembers.html · fetched 2026-08-29 · 47cbc55ff1de
- site_page: https://info.arxiv.org/about · fetched 2026-08-29 · a1f16f915a9a
- site_page: https://info.arxiv.org/labs/index.html · fetched 2026-08-29 · b14a8d05a0ec
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| auspicious3000/autovc | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="auspicious3000/autovc")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem