kcoul's repositories
lkjb-plugins
Automatically exported from code.google.com/p/lkjb-plugins
NeuralNote
Audio Plugin for Audio to MIDI transcription using deep learning.
audiogridder
DSP servers using general purpose networks and computers
anira
an architecture for neural network inference in real-time audio applications
audiogridder-deps
AudioGridder Dependencies
basic-pitch
A lightweight yet powerful audio-to-MIDI converter with pitch bend detection
demucs.cpp
C++17 port of Demucs v3 (hybrid) and v4 (hybrid transformer) models with ggml and Eigen3
demucs_batch-multigpu
[Batching/MultiGPU/DataLoader Implemented] Code for the paper Hybrid Spectrogram and Waveform Source Separation
EuclideanRhythmGenerator
Add this JUCE plugin to your DAW to generate interesting euclidean rhythms! Final delivery for Musical Computing.
Gin
A few extras for juce
GPT-SoVITS
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
juce_emscripten
Port of JUCE to the browser via emscripten
larsnet
Toward Deep Drum Source Separation
Lenovo-T520-Clover
Files and Scripts to install macOS on T520
Lush-Delay
A Delay Plugin Made with Juce
lv_port_linux
LVGL configured to work with a standard Linux framebuffer
mecaps
Starter pack for your next C++ application using KDUtils and Slint.
mverb
VST Reverb In C++
ofxOscMidi
Midi in, OSC out with Midi thru. Based on openFrameworks
onnxruntime-build
A build project for ONNX Runtime
ort-builder
ONNX Runtime static library builder
osmid
osmid is a tool to bridge MIDI and OSC. It is currently in use in Sonic Pi
piper
A fast, local neural text to speech system
piper-phonemize
C++ library for converting text to phonemes for Piper
rb3_driver
Experimental RB3 Wireless MIDI Keyboard Driver
Scyclone
Real-time Neural Timbre Transfer
sound_meter
Fully resizing juce peak meter module with optional fader overlay.
Tokenizer
Fast and customizable text tokenization library with BPE and SentencePiece support
transcripts
Changelog episode transcripts in Markdown format 📚
vits.cpp
a cpp ggml port of "VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech." for use in mobile devices. this is my undergraduate project