Introduction to the Muzic Project
Muzic is an innovative research project focused on the intersection of artificial intelligence and music. Spearheaded by researchers at Microsoft Research Asia, with input from collaborators worldwide, this project seeks to enhance the understanding and generation of music using advanced AI and deep learning techniques.
Scope and Objectives
Muzic operates within the realms of music understanding and music generation. Its ultimate goal is to develop intelligent systems that can comprehend and create music, mimicking the processes undertaken by human musicians.
Key Components of Muzic
1. Music Understanding
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Symbolic Music Understanding: Through projects like MusicBERT, Muzic harnesses AI to interpret symbolic representations of music, aiming for better comprehension akin to human understanding.
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Automatic Lyrics Transcription: Leveraging tools like PDAugment, Muzic focuses on translating spoken lyrics into written text, enhancing the interaction between human vocals and digital analysis.
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Contrastive Language-Music Pre-training (CLaMP): This approach enables the cross-modal retrieval of information between language and music, pushing the boundaries of inter-disciplinary AI development.
2. Music Generation
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Song Writing: Muzic facilitates the transformation between lyrics and melodies through tools like SongMASS, DeepRapper, TeleMelody, ReLyMe, and ROC, aiding in the creative songwriting process.
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Music Form and Structure Generation: Utilizing models such as MeloForm and Museformer, Muzic can autonomously generate musical structures, accommodating the arrangement of pieces both short and long.
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Multi-Track Generation: Solutions like PopMAG and GETMusic enable the generation of complex music tracks, from accompaniment to any type of musical sound.
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Text-to-Music: MuseCoco bridges the gap between written text and symbolic music generation, providing a novel way for ideas to become musical compositions.
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Singing Voice Synthesis: HiFiSinger advances the production of high-fidelity synthetic singing voices, expanding creative possibilities in vocal music.
3. AI Agent
- MusicAgent: A versatile AI agent developed to manage and enhance music processing, utilizing large language models to broaden its applicability.
Milestones and Achievements
The Muzic project has garnered significant academic recognition, with tools like CLaMP winning accolades including the Best Student Paper Award at ISMIR 2023. Recent developments include the release of innovative frameworks such as MuseCoco and GETMusic, which facilitate comprehensive music composition capabilities, and the cutting-edge MusicAgent for sophisticated music processing.
Technical Requirements
To run the Muzic systems, a Linux operating system is required, specifically Ubuntu 16.04.6 LTS. The project relies on Python 3.6.12 and CUDA 10. All necessary dependencies are listed in Muzic's requirements.txt file, and installation involves a simple pip command to fulfill these requirements.
Contribution and Community
Muzic welcomes contributions from the global community, encouraging collaboration to drive forward the capabilities of AI in music. Contributors must agree to a Contributor License Agreement, ensuring mutual respect for intellectual property and development rights. The project adheres to Microsoft's Open Source Code of Conduct, maintaining an inclusive and respectful environment for all participants.
Whether you're a music lover or AI enthusiast, Muzic offers exciting opportunities to explore and expand the ever-evolving landscape of AI-generated music.