Symbolic Music NLP Artificial Intelligence Toolkit
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Updated
May 29, 2024 - Jupyter Notebook
Symbolic Music NLP Artificial Intelligence Toolkit
ICASSP 2023-2024 Papers: A complete collection of influential and exciting research papers from the ICASSP 2023-24 conferences. Explore the latest advancements in acoustics, speech and signal processing. Code included. Star the repository to support the advancement of audio and signal processing!
MIDI / symbolic music tokenizers for Deep Learning models 🎶
Daily tracking of awesome audio papers, including music generation, zero-shot tts, asr, audio generation
Ultimate GPU-accelerated algorithmic matching Piano music generator implementation
A WIP experimental app to programmatically generate music in a Baroque style.
A complete and open application for automatic backing tracks generation.
🎮 Dance dance revolution game written in pic assembly
Chris Korda, digital artist and antinatalist.
Music generation program based on codified Western classical music principles.
MagicMusic Generator is a web application that allows users to explore random music genres and storylines.
Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.
Harmony Forge is a music generation platform merging Flask and Flutter. Flask manages backend tasks like music generation, user authentication, and model oversight, while Flutter's Android app offers a user-friendly interface. Together, they empower users to create music seamlessly through machine learning models and modern design principles.
Generate music from the entropy of Linux 🐧🎵
MIDI Generation
Ai SaaS web application using next.js 14
This WebApp allows musicians to create music together remotely in real-time.
This project merges Natural Language Processing with music generation, using NLP techniques to analyze lyrics and guide the creation of music. It employs sentiment analysis, keyword extraction, and topic modeling, along with Genius and Spotify APIs, to generate music that reflects the emotional depth of the lyrics using the MusicGen model.
music generation with masked transformers!
a list of demo websites for automatic music generation research
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