Mathematics of the MML Functional Quantizer Modules for VCV Rack Software Synthesizer
The Mathematics and Music Lab (MML) at Michigan Technological University has developed a line of "functional quantizer" modules for the VCV Rack software modular synthesizer platform, allowing synthesizer players to tune oscillators to new musical scales based on mathematical functions.
Exploring the Quirks of Generative AI Music: Suno's Attempt at a Podcast Theme
Experimenting with Suno, a generative AI music platform, to create a podcast theme song reveals unexpected and unconventional results.
M2UGen: Multi-modal Music Understanding and Generation
M2UGen introduces a framework for multi-modal music understanding and generation using large language models.
Exploring and Applying Audio-Based Sentiment Analysis in Music
Computational models can effectively predict and analyze emotions in music, offering potential applications in therapy and music queuing.
Notochord: A Real-Time MIDI Performance Model
Notochord is a deep probabilistic model for real-time MIDI performance, enabling interactive musical functions with low latency.
Practical End-to-End Optical Music Recognition for Pianoform Music
Advancements in OMR models for piano music recognition are crucial, with a focus on practicality and evaluation metrics.
Music Source Separation with DTTNet Framework
Introducing DTTNet, a lightweight framework for music source separation with improved performance and reduced parameters.
Multi-Source Diffusion Models for Music Generation and Separation at ICLR 2024
A diffusion-based generative model is introduced for music synthesis and source separation, enabling total generation, partial generation, and source separation tasks simultaneously.
Notochord: A Deep Probabilistic Model for Real-Time MIDI Performance
Notochord is a deep probabilistic model designed for real-time MIDI performance, enabling interactive musical functions with low latency.
Enhancing Multi-Instrument Music Transcription with MR-MT3
Enhancing multi-instrument music transcription with MR-MT3 to mitigate instrument leakage.
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