Centre for Digital Music (C4DM): Recent submissions
Now showing items 21-40 of 210
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MorpheuS: Generating Structured Music with Constrained Patterns and Tension
(Institute of Electrical and Electronics Engineers (IEEE), 2019-10-01) -
A computational study on outliers in world music
(2017-12-18) -
Feature design for intelligent control of the dynamic range compressor using audio decomposition
(2017)We propose a method for the intelligent control of the dynamic range compressor targeting mono-timbral loops. Initial research using random forest regression has been shown to work in the context of isolated notes. Since ... -
Modeling Musical Context with Word2vec
(2017-05-14)We present a semantic vector space model for capturing complex polyphonic musical context. A word2vec model based on a skip-gram representation with negative sampling was used to model slices of music from a dataset of ... -
spatial-efd: A spatial-aware implementation of elliptical Fourier analysis
A Python implementation of the calculation of elliptical Fourier descriptors. This package is designed to allow the rapid analysis of spatial data stored as ESRI shapefiles, handling all of the geometric conversions. The ... -
Automatic Transcription of Vocal Quartets
(Centre for Digital Music, Queen Mary University of London, 2016-12-20)This work presents a probabilistic latent component analysis (PLCA) method applied to automatic music transcription of a cappella performances of vocal quartets. A variable-Q transform (VQT) representation of the audio ... -
Intelligent Audio Mixing Using Deep Learning
(Centre for Digital Music, Queen Mary University of London, 2016-12-20)We propose a research trajectory in the field of deep learning applied to music production systems such as mixing, mastering, sound design and sound synthesis. -
Explaining Predictions of Machine Listening Systems
(Centre for Digital Music, Queen Mary University of London, 2016-12-20)We adapt local, interpretable and model-agnostic explanations [1] for use with a machine listening system, and demonstrate it for singing voice detection. Such explanations provide ways to understand the behaviour of machine ... -
Towards a Music Language Model for Audio Analysis
(Centre for Digital Music, Queen Mary University of London, 2016-12-20)Polyphonic Automatic Music Transcription remains a challenging problem. Many studies focus on the extraction of features from audio signals; we focus here on Music Language Models that help turn those features into a ... -
Automatic Control Of The Dynamic Range Compressor Using A Regression Model And A Reference Sound
(2017)Practical experience with audio effects as well as knowledge of their parameters and how they change the sound is crucial when controlling digital audio effects. This often presents barriers for musicians and casual users ... -
Performable Spectral Synthesis via Low-Dimensional Modelling and Control Mapping
(Centre for Digital Music, Queen Mary University of London, 2016-12-20)Spectral modelling represents an audio signal as the sum of a finite number of partials – sinusoids tracked through sequential analysis frames. With the goal of real-time user-controllable synthesis in mind, we assume these ...