wenet
pedalboard
wenet | pedalboard | |
---|---|---|
5 | 24 | |
3,699 | 4,852 | |
1.6% | 1.2% | |
9.6 | 8.2 | |
2 days ago | 8 days ago | |
Python | C++ | |
Apache License 2.0 | GNU General Public License v3.0 only |
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.
wenet
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Open Source Libraries
wenet-e2e/wenet
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Deploying speech recognition models at scale
Try wenet wenet
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Ask HN: Are there any good open source Text-to-Speech tools?
For STT, take a look at Wenet: https://github.com/wenet-e2e/wenet
They provide support for running in a Raspberry Pi and it runs in real-time. I have tried the desktop version and the quality is good enough when the audio is clean.
- Project Alice – an open source virtual assistant that can run offline
- Wenet results on Gigaspeech - on par with best results (Espnet). Pretrained model is available .
pedalboard
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Open Source Libraries
spotify/pedalboard: audio effects for Python and TensorFlow
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Importing a library from GitHub?
pip install git+https://github.com/spotify/pedalboard.git
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Python-based (or usable through command-line) synths and samplers
I haven't tried it yet, but pedalboard is probably your best bet. DawDreamer also looks interesting ...
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Library for Audio Effects (Debian Raspberry Pi)
I found this really cool and promising library called "Pedalboard" but when I try to install it using PIP I get this error message:
- converting normal audio into 3D audio and 'changing the distance'
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I need to learn audio processing in Python.
Perhaps Spotify Pedalboard might be of interest
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This Week In Python
pedalboard – A Python library for manipulating audio
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Suggestions for processing ~12,000 audio files for ML?
Thanks for the suggestions, everybody! I'm going to try writing a python script using this library: https://github.com/spotify/pedalboard to loop through all files in my sample directory and save the processed outputs to a new folder. Hoping it doesn't melt my poor 2018 Macbook Pro - I'll try running it on a smaller folder at first and see how it goes.
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Good solution to simply run VST directly without DAW?
Do you want to run the effect online or offline? You can do it offline with: https://github.com/spotify/pedalboard
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Library for for generating audio from midi VST?
I think you could do it with this https://github.com/spotify/pedalboard
What are some alternatives?
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
DawDreamer - Digital Audio Workstation with Python; VST instruments/effects, parameter automation, FAUST, JAX, Warp Markers, and JUCE processors
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
audiogridder - DSP servers using general purpose computers and networks
FasterTransformer - Transformer related optimization, including BERT, GPT
element - Element Audio Plugin Host
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
JUCE - JUCE is an open-source cross-platform C++ application framework for desktop and mobile applications, including VST, VST3, AU, AUv3, LV2 and AAX audio plug-ins.
fstalign - An efficient OpenFST-based tool for calculating WER and aligning two transcript sequences.
BespokeSynth - Software modular synth [Moved to: https://github.com/BespokeSynth/BespokeSynth]
functorch - functorch is a prototype of JAX-like composable function transforms for PyTorch. [Moved to: https://github.com/pytorch/functorch]
VeeSeeVSTRack - Open-source virtual modular synthesizer