StarGANv2-VC VS autovc

Compare StarGANv2-VC vs autovc and see what are their differences.

StarGANv2-VC

StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion (by yl4579)
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StarGANv2-VC autovc
3 1
458 961
- -
1.3 2.7
12 months ago about 2 years ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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StarGANv2-VC

Posts with mentions or reviews of StarGANv2-VC. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-24.
  • [D] What's the best speech to speech deep fake voice project?
    1 project | /r/MachineLearning | 6 Nov 2022
    So far I've only been able to find StarGANv2. Which one redditor used to create this. Is this the best there is or are there better alternatives?
  • [R] State-of-the-art voice cloning
    2 projects | /r/MachineLearning | 24 Sep 2022
    I used this to make this
  • Use deep fake tech to say stuff with your favorite characters
    6 projects | news.ycombinator.com | 25 Dec 2021
    This looks like it was previously known as Vocodes, made by echelon who is here on HN:

    https://news.ycombinator.com/item?id=23965787

    The code repos used are listed in their credits section, and it looks like a mixture of (customised?) Tacotron2, Glow-TTS, HifGan, and others. Videos are generated using Wav2Lip.

    Text-To-Speech (TTS) has improved greatly over the past several years, but there's still a lot of metallic sounds in "pure" TTS implementations. I've started exploring voice style conversion, otherwise known as "voice cloning", and there are some interesting repos out there with decent results. These work differently from TTS, in that you don't type out the text to be spoken, but rather pass in an audio file of what you want the cloned speaker to say, and the system outputs an audio file with the same sounds (words, intonation) but with a different speaker identity.

    This may be easier to get the right cadence and emotion in the generated audio, as text doesn't capture proper emotion and intonation. I suspect game character audio will use more of voice-style conversion instead of pure TTS simply to get the right emotional cadence of the lines being delivered.

    Some interesting voice style conversion repos (in no order, just a random selection if anyone is interested in exploring):

    https://github.com/yl4579/StarGANv2-VC

autovc

Posts with mentions or reviews of autovc. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-25.

What are some alternatives?

When comparing StarGANv2-VC and autovc you can also consider the following projects:

tortoise-tts - A multi-voice TTS system trained with an emphasis on quality

YourTTS - YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone

jukebox - Code for the paper "Jukebox: A Generative Model for Music"

espnet - End-to-End Speech Processing Toolkit

voice_conversion

tt-vae-gan - Timbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.

AutoPST - Global Rhythm Style Transfer Without Text Transcriptions