PaddleSpeech
pedalboard
| PaddleSpeech | pedalboard | |
|---|---|---|
| 6 | 24 | |
| 10,161 | 4,852 | |
| 2.0% | 1.2% | |
| 6.8 | 8.2 | |
| 17 days ago | 7 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.
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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
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?
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
DawDreamer - Digital Audio Workstation with Python; VST instruments/effects, parameter automation, FAUST, JAX, Warp Markers, and JUCE processors
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.
audiogridder - DSP servers using general purpose computers and networks
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)
element - Element Audio Plugin Host
TensorVox - Desktop application for neural speech synthesis written in C++
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.
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.
BespokeSynth - Software modular synth [Moved to: https://github.com/BespokeSynth/BespokeSynth]
TTS - :robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
VeeSeeVSTRack - Open-source virtual modular synthesizer