Results 291 to 300 of about 3,347,826 (347)

Modelling musical dynamics

Proceedings of the 5th Audio Mostly Conference: A Conference on Interaction with Sound, 2010
This paper deals with dynamics, i.e. loudness, in music. We developed models to describe and recreate dynamics properties of human musicians' expressive performances within a performance system. Their diversity and variability bears a particular challenge to the flexibility of such models.
Tilo Hähnel, Axel Berndt
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MIDI-VAE: Modeling Dynamics and Instrumentation of Music with Applications to Style Transfer

International Society for Music Information Retrieval Conference, 2018
We introduce MIDI-VAE, a neural network model based on Variational Autoencoders that is capable of handling polyphonic music with multiple instrument tracks, as well as modeling the dynamics of music by incorporating note durations and velocities.
Gino Brunner, Andres Konrad, Yuyi Wang, Roger Wattenhofer   +3 more
semanticscholar   +1 more source

Complex dynamics and musical structure

Interface, 1990
Abstract A piece of music is generally perceived as the time evolution of acoustical signals, but, because of its complexity, the intrinsic dynamics of the music cannot be easily identified or characterized. A musical sequence can also be considered as the time series resulting from a dynamical phenomenon.
Boon, Jean‐pierre, Noullez, A., Mommen, Corinne   +2 more
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Dynamical Music with Musical Boolean Networks

2018
An extended Boolean network model is investigated as a possible medium in which a human composer can write music. A Boolean network is a simple discrete-time dynamical system whose state is characterised by the states of its constituent Boolean-valued vertices.
George Gabriel, Susan Stepney
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The functional dynamics of music

Music and Letters, 1948
THE approach to the study of the nature of music must start with its origins. But Scores of philosophers, economists and scientists have in the last two hundred years attempted to get to the truth, and yet have not been able to present as much as one acceptable theory, indeed, one uncontested fact. . . . Music . . .
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Distinguishable musical dynamics

The Journal of the Acoustical Society of America, 1989
Loudness changes, which composers specify by musical dynamics pp, p, mp, mf, f, and ff, make music exciting. The goal of this study is a usable and rational specification of an “acceptable” dynamic range for musicians. Requiring that a note at one dynamic level be at least s dB more intense than nearby notes at the next-lower dynamic level leads to a ...
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Modeling Music as a Dynamic Texture

IEEE Transactions on Audio, Speech, and Language Processing, 2010
We consider representing a short temporal fragment of musical audio as a dynamic texture, a model of both the timbral and rhythmical qualities of sound, two of the important aspects required for automatic music analysis. The dynamic texture model treats a sequence of audio feature vectors as a sample from a linear dynamical system.
Gert R. G. Lanckriet, Antoni B. Chan, Luke Barrington   +2 more
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Exploration of Artificial Intelligence in Creative Fields: Generative Art, Music, and Design

International Journal of Cyber and IT Service Management
This article provides a thorough examination of the latest advancements in artificial intelligence (AI) as applied to the creative sectors, specifically focusing on generative art, music composition, and design.
Vina El Ardeliya, Joshua Taylor, Julia Wolfson   +2 more
semanticscholar   +1 more source

Incorporating Time Dynamics and Implicit Feedback into Music Recommender Systems

International Conference on Wirtschaftsinformatik, 2018
Recommender systems have been applied to several domains (e.g., online streaming, e-commerce, etc.) to assist decision making. Temporal information has been recognized and demonstrated as useful factor in improving the quality of recommendations. However,
Diego Sánchez-Moreno, Yong Zheng, M. García   +2 more
semanticscholar   +1 more source

Dynamic texture models of music

2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009
In this paper, we consider representing a musical signal as a dynamic texture, a model for both the timbral and rhythmical qualities of sound. We apply the new representation to the task of automatic song segmentation. In particular, we cluster sequences of audio feature-vectors, extracted from the song, using a dynamic texture mixture model (DTM).
Gert R. G. Lanckriet, Luke Barrington, Antoni B. Chan   +2 more
openaire   +2 more sources