PaddleSpeech
hifi-gan
| PaddleSpeech | hifi-gan | |
|---|---|---|
| 6 | 5 | |
| 10,161 | 1,764 | |
| 2.0% | - | |
| 6.8 | 0.0 | |
| 18 days ago | 10 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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PaddleSpeech
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Open Source Libraries
PaddlePaddle/PaddleSpeech
- I made Lisa-nee TTS (Imai Lisa)
- project
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is there addon that recognize speech (from video) into text?
I couldn't find any add-ons that did what you needed. I'm sorry. Maybe you could try using PaddleSpeech to see if it works for you, but it is not a Firefox add-on, it's a CLI tool.
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Mozilla Common Voice Adds 16 New Languages and 4,600 New Hours of Speech
Ah, damn. Didn't realise.
It also looks like Baidu are now developing their Deep Speech as open source? https://github.com/PaddlePaddle/DeepSpeech
- Server-Side Audio Transcription Software
hifi-gan
- [D] What is the best open source text to speech model?
- I made Lisa-nee TTS (Imai Lisa)
- HiFi-GAN: Generative Adversarial Networks for Efficient and Hi-Fi Speech Synth
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[2108.13320] Neural HMMs are all you need (for high-quality attention-free TTS)
It will be interesting to see if the artefacts you noticed persist once we've trained the model for longer and switch to a better vocoder such as HiFi-GAN. (The paper and audio examples use WaveGlow since that's the default of the repository we compared ourselves to.) That said, "choppiness" sounds to me like it might be related to the temporal evolution, in which case it's something that a non-causal, convolutional post-net might be able to smooth over.
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The dangers of AI
Hey, as far as I know this paper is the current SoTA on public data that is open source. Github is here. If you are interested in really getting into speech synthesis, this page has everything (modern stuff on the bottom.)
What are some alternatives?
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
WaveRNN - WaveRNN Vocoder + TTS
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.
wavegrad - A fast, high-quality neural vocoder.
NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Parallel-Tacotron2 - PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
TensorVox - Desktop application for neural speech synthesis written in C++
diffwave - DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.
common-voice-android - Repository of "CV Project" app. It's an unofficial app for Mozilla Common Voice, which permits you to contribute to this project via your device.
TTS - :robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
TensorFlowTTS - :stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)