soft-vc
silero-models
| soft-vc | silero-models | |
|---|---|---|
| 2 | 32 | |
| 376 | 4,584 | |
| - | - | |
| 2.2 | 4.7 | |
| 2 months ago | 7 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | GNU General Public License v3.0 or later |
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soft-vc
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Where can I find more info on the various model files
Also been looking into CycleGANs to do "voice conversions." I found that the term "voice conversion" is a research-friendly way to say you are doing voice clones. I found this one really good and I've been quite impressed : https://github.com/bshall/soft-vc
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Divine conference of the 'sisters' :P
but Lydiasarunrat (my project-partner) had different ideas, and knew of the existence of https://github.com/bshall/soft-vc which he also slightly adjusted to get better results. The title of the work that were basing the female voice-pack conversion on: "{A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion}". It's a beautiful title.. very.. Sekiro lore-friendly 🤣 - use this for Pro Shinobi whisper voice-line conversion! 😄
silero-models
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Weird A.I. Yankovic, a cursed deep dive into the world of voice cloning
I doubt it's currently actually "the best open source text to speech", but the answer I came up with when throwing a couple of hours at the problem some months ago was "Silero" [0, 1].
Following the "standalone" guide [2], it was pretty trivial to make the model render my sample text in about 100 English "voices" (many of which were similar to each other, and in varying quality). Sampling those, I got about 10 that were pretty "good". And maybe 6 that were the "best ones" (pretty natural, not annoying to listen to).
IIRC the license was free for noncommercial use only. I'm not sure exactly "how open source" they are, but it was simple to install the dependencies and write the basic Python to try it out; I had to write a for loop to try all the voices like I wanted. I ended using something else for the project for other reasons, but this could still be fairly good backup option for some use cases IMO.
[0] https://github.com/snakers4/silero-models#text-to-speech - What's the best text-to-speech free non-cloud software?
- Hey can anyone else add the text to speech
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Messing around with a TTS extension
Glados was the first experiment. I moved on to silero afterwards: https://github.com/snakers4/silero-models
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Ask HN: Open-source video transcribing software?
Some months ago I tried the Silero Models: https://github.com/snakers4/silero-models
With the audio sources I had, in English, the transcription had many mistakes. The good side is that installing and running the software worked as described in their documentation, so maybe it’s worth giving it a try by yourself.
- Silero V3：20种语言的快速高质量文本到语音，有173种声音 (Silero V3: fast high-quality text-to-speech in 20 languages with 173 voices)
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Hacker News top posts: Jun 20, 2022
Silero V3: fast high-quality text-to-speech in 20 languages with 173 voices\ (56 comments)
- Silero V3: fast high-quality text-to-speech in 20 languages with 173 voices
What are some alternatives?
SfMLearner - An unsupervised learning framework for depth and ego-motion estimation from monocular videos
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
simclr - SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
DeepSpeech - DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
piper - A fast, local neural text to speech system
Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
Porcupine - On-device wake word detection powered by deep learning
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
spokestack-python - Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application with a focus on embedded systems.
Caffe - Caffe: a fast open framework for deep learning.
wenet - Production First and Production Ready End-to-End Speech Recognition Toolkit