Concept

Mélodie

Publications associées (11)

Musical Garden Paths: Evidence for Syntactic Revision Beyond the Linguistic Domain

Martin Alois Rohrmeier, Steffen Alexander Herff, Gabriele Cecchetti

While theoretical and empirical insights suggest that the capacity to represent and process complex syntax is crucial in language as well as other domains, it is still unclear whether specific parsing mechanisms are also shared across domains. Focusing on ...

Wiley2022

Lyrics-Conditioned Neural Melody Generation

Simon Canales, Yi Yu

Generating melody from lyrics to compose a song has been a very interesting research topic in the area of artificial intelligence and music, which tries to predict generative music relationship between lyrics and melody. In this demonstration paper, by exp ...

SPRINGER INTERNATIONAL PUBLISHING AG2020

The Tonal Diffusion Model

Martin Alois Rohrmeier, Fabian Claude Moss, Robert Lieck

Pitch-class distributions are of central relevance in music information retrieval, computational musicology and various other fields, such as music perception and cognition. However, despite their structure being closely related to the cognitively and musi ...

2020

The pleasantness of sensory dissonance is mediated by musical style and expertise

Martin Alois Rohrmeier, Fabian Claude Moss, Markus Franz Josef Neuwirth, Tudor Popescu

Western musical styles use a large variety of chords and vertical sonorities. Based on objective acoustical properties, chords can be situated on a dissonant-consonant continuum. While this might to some extent converge with the unpleasant-pleasant continu ...

2019

Learning and generation of slow sequences: an application to music composition

Florian François Colombo

Human brains can deal with sequences with temporal dependencies on a broad range of timescales, many of which are several order of magnitude longer than neuronal timescales. Here we introduce an artificial intelligence that learns and produces the complex ...

2016

Algorithmic Composition of Melodies with Deep Recurrent Neural Networks

Wulfram Gerstner, Johanni Michael Brea, Alexander Kevin Seeholzer, Florian François Colombo, Samuel Pavio Muscinelli

A big challenge in algorithmic composition is to devise a model that is both easily trainable and able to reproduce the long-range temporal dependencies typical of music. Here we investigate how artificial neural networks can be trained on a large corpus o ...

2016

Algorithmic composition of melodies with deep recurrent neural networks

Florian François Colombo

2016

Guessing the fingerings from musical recordings

Paolo Prandoni, Arnaud Latty, Frederike Dümbgen

Synopsis: This project is about using musical recordings of string instruments to determine on which strings notes have been played. It includes the study of the spectral content of the recordings and the development of a robust classifica ...

2012

Source/Filter Model for Unsupervised Main Melody Extraction From Polyphonic Audio Signals

Extracting the main melody from a polyphonic music recording seems natural even to untrained human listeners. To a certain extent it is related to the concept of source separation, with the human ability of focusing on a specific source in order to extract ...

Institute of Electrical and Electronics Engineers2010

Predictive Models for Music

Samy Bengio, Jean-François Paiement

Modeling long-term dependencies in time series has proved very difficult to achieve with traditional machine learning methods. This problem occurs when considering music data. In this paper, we introduce generative models for melodies. We decompose melodic ...

IDIAP2008

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