marytts
silero-models
| marytts | silero-models | |
|---|---|---|
| 3 | 32 | |
| 2,208 | 4,584 | |
| 0.2% | - | |
| 0.0 | 4.7 | |
| about 1 year ago | 7 months ago | |
| Java | Jupyter Notebook | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
marytts
-
Breton voice generation from text?
I did find one but I am not sure if the link is still reliable https://marytts.github.io/.
- Text to speech as an mp3?
- tts libraries for kotlin?
silero-models
-
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
-
Messing around with a TTS extension
Glados was the first experiment. I moved on to silero afterwards: https://github.com/snakers4/silero-models
-
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)
-
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?
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
spokestack-android - Extensible Android mobile voice framework: wakeword, ASR, NLU, and TTS. Easily add voice to any Android app!
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
Parallel-Tacotron2 - PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
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.
WaveRNN - WaveRNN Vocoder + TTS
piper - A fast, local neural text to speech system
elevenlabs-api - 🗣️🎤 elevenlabs-api is an open source Java wrapper around the ElevenLabs Voice Synthesis and Cloning Web API.
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