voice100
TensorFlowTTS
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| voice100 | TensorFlowTTS | |
|---|---|---|
| 1 | 6 | |
| 25 | 3,697 | |
| - | 1.4% | |
| 4.9 | 0.0 | |
| 5 months ago | 5 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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voice100
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Voice-cloning library for conlangs?
If you would like to use your romanization, yes, first you have to have some way to perform grapheme-to-phoneme transcription. I dug for a bit and found something that looks pretty basic, where you can easily write your own phonemizer: https://github.com/kaiidams/voice100. Not sure how good this model is, as it's made to be working on small devices, but you may play with it.
TensorFlowTTS
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Ask HN: On-Device Text to Speech
Hey HN, has anyone found a viable solution for doing this locally and offline on iOS? I'd like to offer a privacy-friendly text to speech feature to my App, and Apple's speech synthesis sounds awful compared to some newer models and TTS engines. The only thing I've found is an older TensorflowTTS example here: https://github.com/TensorSpeech/TensorFlowTTS/tree/master/examples/ios
Any pointers or tips appreciated.
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NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality
I had a lot of success using [FastSpeech2 + MB MelGAN via TensorFlowTTS](https://github.com/TensorSpeech/TensorFlowTTS). There are demos for [iOS](https://github.com/TensorSpeech/TensorFlowTTS/tree/master/ex...) and [Android](https://github.com/TensorSpeech/TensorFlowTTS/tree/master/ex...) which will allow you to run pretty convincing, modern TTS models with only a few hundred milliseconds of processing latency.
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TTS mobile help
I need an example of how I would go about it. I've combed through examples but it's just not clicking for me.
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A Working TTS feature has been found (No Google Services Required)
https://github.com/TensorSpeech/TensorFlowTTS was the project. It was pretty much a direct compile and run. I went through and added the required features to enable it as TTS service for Android. I also moved the Tensorflow portion into a separate thread from the TTS service directly, since Android restricts it's TTS service to a single thread, and the Tensorflow service uses five threads to run at a good speed. It's a much much heavier solution than a C/C++ compiled library, but it works out of the box and I will worry about optimizations later
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Free library for text-to-speech
You need to try, it implements most advanced algorithms and not as ad-hoc as nvidia https://github.com/TensorSpeech/TensorFlowTTS
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Reviving the 1973 Unix text to voice translator
For open source offline TTS with more or less recent algorithms you can check
https://github.com/TensorSpeech/TensorFlowTTS
What are some alternatives?
FastSpeech2 - An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
TTS - :robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
WaveRNN - WaveRNN Vocoder + TTS
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
hifi-gan - HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
flowtron - Flowtron is an auto-regressive flow-based generative network for text to speech synthesis with control over speech variation and style transfer
wavegrad - A fast, high-quality neural vocoder.
tts-tortoise-gradio - A Gradio setup for Tortoise TTS.
FairMOT - [IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking