A simple Unreal 5 plugin with demo content that shows how audio DSP can be implemented as Metasound, SourceEffect and SubmixEffect. The intention is to use it as a template to create more complex audio DSP effects.
Audio Watermark using DWT-DCT approach and scrambling image for embedding of binary or grayscale image into audio signal
An Unreal 5 plugin that contains a collection of different audio DSP effects implemented as Metasounds, SourceEffects and SubmixEffects.
A simple, light weight javascript plugin for audio editing functionalites.
Audio Denoiser System based on NVIDIA CleanUNet
Web Synthesizer is a powerful browser-based audio synthesizer built with HTML5, CSS3, and JavaScript. It leverages the Web Audio API for real‑time sound generation and customization. Explore presets, tweak parameters, and create music directly in your browser—no installation required. Developed by Bocaletto Luca.
Audio Analyser, a cutting-edge application designed to transform audio recordings into actionable insights using Microsoft Azure AI. It offers audio recording, speech-to-text conversion, and in-depth text analysis, providing users with comprehensive and insightful reports.
Process audio files with Alfred through Auphonic's API
Implementasi Model Transfer Learning Arsitektur ConvNeXt untuk Klasifikasi Kicauan Burung di Taman Nasional Way Kambas
Tool to clip / merge audio files. Use case: removing audio watermarks.
Loudness detector for mp3 and wav files
Empower your projects with high-quality, natural-sounding voices, crafted for diverse applications from interactive games to enhanced accessibility.
Raga Classification Using Deep Learning This project focuses on Indian classical raga classification using deep learning. Unlike Western music genres, ragas are modal structures with intricate ornamentations and improvisations, requiring specialized feature extraction and model selection
MIDI is a native Go library for capturing and manipulating MIDI events. With full support for macOS and Windows, it requires no external libraries, making it easy to integrate into your projects. Capture events, filter commands, and monitor MIDI flow effortlessly!
Aplikacja w Pythonie do ładowania, uruchamiania i podstawowej analizy nagrań dźwiękowych w formacie WAV
Die Klassifikation für Sängerstimmen in der Oper ist immer eine Frage, die oft diskutiert wird. In dieser Arbeit wird der Klassifikator des Bereiches Ensemble-Learning mit dem Ziel untersucht, dass für möglichst jede Stimmlage die Stimmfächer zugeordnet werden können.
Audio Processing for Music Applications - Coursera
Implementation of Portsf for Windows
Audio Engineering
Through analyzing a selected passage of the Gettysburg Address, this project models how the addition of noise impact the performance of Google Speech Recognition API and analyzes further into some specifics, including whether the speech recognition API produces varied output when given the same input and on keeping track of data to find out the …
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