flowtron
speechbrain
| flowtron | speechbrain | |
|---|---|---|
| 6 | 26 | |
| 881 | 7,892 | |
| 0.3% | 2.5% | |
| 0.0 | 9.8 | |
| 10 months ago | 9 days ago | |
| Jupyter Notebook | Python | |
| Apache License 2.0 | Apache License 2.0 |
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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.
flowtron
- [D] What is the best open source text to speech model?
- A thought: we need language and voice synthesis models as free as Stable Diffusion
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Ask HN: Best FOSS software to read text allowed
If you want free (as open source) software, the NVIDIA research GitHub also has some good tools. For example : https://github.com/NVIDIA/flowtron
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Visas Marr on the tragedy of Darth Plagueis
Voice in this video was synthesized using a Flowtron trained on Visas' speech patterns.(https://github.com/NVIDIA/flowtron)
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Bastila Shan reads the Sith and Jedi Codes
The voicelines in this video was created using a Flowtron Text-to-Speech (TTS) model trained on Bastila's voice patterns to read the Sith and Jedi Codes. For more information: https://github.com/NVIDIA/flowtron I created a small tutorial for how to use it on Google Colab: https://www.youtube.com/watch?v=1Bmg1c5U5Bg
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I created a Text-to-Speech model based on Bastila's voice patterns.
For more information on Flowtron: https://github.com/NVIDIA/flowtron/
speechbrain
- SpeechBrain 1.0: A free and open-source AI toolkit for all things speech
- FLaNK Stack Weekly 22 January 2024
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[D] Training ASR model using SpeechBrain
You likely have a very broken sample in one of your batches. It looks like your training actually went through a few batches before it horked the error at you. A quick google shows a similar issue in the github repo: https://github.com/speechbrain/speechbrain/issues/649 .
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Whisper.cpp
https://github.com/ggerganov/whisper.cpp https://speechbrain.github.io/
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[D] What is the best open source text to speech model?
I don't know if it's the best, but Speechbrain is supposed to be state of the art.
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[D] What's stopping you from working on speech and voice?
- https://github.com/speechbrain/speechbrain
- Specific Voice recognition
- How to get high-quality, low-cost Speech-to-Text transcription?
- [D] Speech Enhancement SOTA
- Speaker diarization
What are some alternatives?
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)
espnet - End-to-End Speech Processing Toolkit
tacotron - A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)
pyannote-audio - Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Resemblyzer - A python package to analyze and compare voices with deep learning
WaveRNN - WaveRNN Vocoder + TTS
ukrainian-onnx-model - An ONNX model for speech recognition of the Ukrainian language
espeak-ng - eSpeak NG is an open source speech synthesizer that supports more than hundred languages and accents.
SincNet - SincNet is a neural architecture for efficiently processing raw audio samples.
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)