LVCNet: Efficient Condition-Dependent Modeling Network for Waveform Generation
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Updated
Feb 24, 2021 - Python
LVCNet: Efficient Condition-Dependent Modeling Network for Waveform Generation
Pytorch Reimplementation of DiffWave unconditional generation: a high quality waveform synthesizer.
A waveform generator with Rust.
Waveform sound playground application for Windows, written in VC++. Generating waveform from specified frequency. FFT analyzer up to 65 kHz. Support to play, read and save wav-format file.
Training Wavenet on Sylvia Plath Audio Clips
Arduino library to control the AD9850 DDS module
Funktionsgenerator auf Basis des AD9102
This project details the design and implementation of an ECG simulator using an instrumentation amplifier and a Johnson counter (IC 4017) in Multisim software. The simulator continuously generates typical ECG waveforms for testing ECG amplifiers and aiding in biomedical research and medical device development.
Concatenate wavs(for unit selection)
Waveform generation from audio file
WaCPro is an open-source application for waveform generation and crossbar programming in nanotechnology research and education. It enables intuitive GUI-based design, visualization, and export of signals for memristor and crossbar experiments, supporting simulation tools and multiple AWG vendors via SCPI control.
Pytorch re-implementation of MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis.
Free and open source graphical editor for arbitrary waveforms. Compose signals from layers and time-ordered segments - sine, chirp, pulse, Ricker wavelet, formula or hand-drawn points - watch the combined curve live, and export sampled values as CSV or raw binary for the Zahner IM7, any function generator, or your own toolchain.
Fast Audio Waveform & Visualizer Generator for Windows
variational rnn -> fourier coeffs -> waveform
📶🙂
RetroSaga V1 Trial: MIDI synthesis POC with dynamic cost-function optimization. Demonstrates 8-bit audio processing, real-time MIDI handling, and NexusLink integration for future game engine development.
Implementation of the TQE model in JAX
feature extraction over raw waveform w/ convolution
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