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Found 15 papers, 10 papers with code
Foundation Models for Music: A Survey
In recent years, foundation models (FMs) such as large language models (LLMs) and latent diffusion models (LDMs) have profoundly impacted diverse sectors, including music.
Real-time Timbre Remapping with Differentiable DSP
Timbre is a primary mode of expression in diverse musical contexts.
MoralBERT: A Fine-Tuned Language Model for Capturing Moral Values in Social Discussions
Moral values play a fundamental role in how we evaluate information, make decisions, and form judgements around important social issues.
Composer Style-specific Symbolic Music Generation Using Vector Quantized Discrete Diffusion Models
The diffusion model is trained to generate intermediate music sequences consisting of codebook indexes, which are then decoded to symbolic music using the VQ-VAE's decoder.
Fast Diffusion GAN Model for Symbolic Music Generation Controlled by Emotions
Diffusion models have shown promising results for a wide range of generative tasks with continuous data, such as image and audio synthesis.
The Responsibility Problem in Neural Networks with Unordered Targets
We discuss the discontinuities that arise when mapping unordered objects to neural network outputs of fixed permutation, referred to as the responsibility problem.
The language of sounds unheard: Exploring musical timbre semantics of large language models
ChatGPT generated semantic profiles that only partially correlated with human ratings, yet showed robust agreement along well-known psychophysical dimensions of musical sounds such as brightness (bright-dark) and pitch height (deep-high).
Rigid-Body Sound Synthesis with Differentiable Modal Resonators
Physical models of rigid bodies are used for sound synthesis in applications from virtual environments to music production.
Sinusoidal Frequency Estimation by Gradient Descent
Sinusoidal parameter estimation is a fundamental task in applications from spectral analysis to time-series forecasting.
"More Than Words": Linking Music Preferences and Moral Values Through Lyrics
This study explores the association between music preferences and moral values by applying text analysis techniques to lyrics.
Deep Conditional Representation Learning for Drum Sample Retrieval by Vocalisation
Imitating musical instruments with the human voice is an efficient way of communicating ideas between music producers, from sketching melody lines to clarifying desired sonorities.
Deep Embeddings for Robust User-Based Amateur Vocal Percussion Classification
Vocal Percussion Transcription (VPT) is concerned with the automatic detection and classification of vocal percussion sound events, allowing music creators and producers to sketch drum lines on the fly.
Timbre Transfer with Variational Auto Encoding and Cycle-Consistent Adversarial Networks
This research project investigates the application of deep learning to timbre transfer, where the timbre of a source audio can be converted to the timbre of a target audio with minimal loss in quality.
Neural Waveshaping Synthesis
We present the Neural Waveshaping Unit (NEWT): a novel, lightweight, fully causal approach to neural audio synthesis which operates directly in the waveform domain, with an accompanying optimisation (FastNEWT) for efficient CPU inference.
A Modulation Front-End for Music Audio Tagging
Modulation filter bank representations that have been actively researched as a basis for timbre perception have the potential to facilitate the extraction of perceptually salient features.
