Séquenceur musical

Résumé

thumb|Un séquenceur (QY10, en haut) commandant un synthétiseur (en bas) En musique, un séquenceur est un outil capable d'enregistrer et exécuter une séquence de commandes (par exemple une partition) permettant de piloter des instruments de musique électronique. Il ne produit aucun son par lui-même, mais sert à automatiser l’exécution d'une séquence musicale. Suivant la technologie utilisée, ces commandes peuvent être une simple séquence de tensions pour les instruments analogiques, ou des messages numériques (par exemple en MIDI). Histoire thumb|Orgue de barbarie Les ancêtres du séquenceur sont les instruments de musiques mécaniques comme la boite à musique ou le rouleau de piano pneumatique. La partition musicale est alors décrite sur des supports mécaniques comme des cylindres comportant des picots, ou des rubans perforés. thumb|Le Q960, séquenceur analogique de Moog En musique électronique, le séquenceur a d'abord été un module analogique. Les plus anciens modules séq

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https://fr.wikipedia.org/wiki/S%C3%A9quenceur_musical

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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 exploiting a large music dataset with 12,197 pairs of English lyrics and melodies, we develop a lyrics-conditioned AI neural melody generation system that consists of three components: lyrics encoder network, melody generation network, and MIDI sequence tuner. Most importantly, a Long Short-Term Memory (LSTM)-based melody generator conditioned on lyrics, is trained by applying a generative adversarial network (GAN), to generate a pleasing and meaningful melody matching the given lyrics. Our demonstration illustrates the effectiveness of the proposed melody generation system.

SPRINGER INTERNATIONAL PUBLISHING AG2020

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, ,

The use of omnidirectional cameras for videoconferencing promises to simplify the hardware setup necessary for large groups of participants. We investigate the use of a multimodal speaker detection algorithm on audio-visual sequences captured with such a camera, in particular, an algorithm that uses the audio energy together with the optical flow. We analyze several types of optical flow methods to determine the one which is appropriate to the omnidirectional context.

2009

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The Impact of Voice Leading and Harmony on Musical Expectancy

Robert Lieck, Markus Franz Josef Neuwirth, Martin Alois Rohrmeier

In Western tonal music, voice leading (VL) and harmony are two central concepts influencing whether a musical sequence is perceived as well-formed. However, experimental studies have primarily focused on the effect of harmony on the cognitive processing of polyphonic music. The additional effect of VL remains unknown, despite music theory suggesting VL to be tightly connected to harmony. Therefore, the aim of this study was to investigate and compare the effects of both VL and harmony on listener expectations. Using a priming paradigm and a choice reaction time task, participants (N = 34) were asked to indicate whether the final chord in a sequence had a different timbre than the preceding ones (cover task), with the experimental conditions being good and poor VL or harmony, respectively. An analysis with generalised mixed effects models revealed a significant influence of both VL and harmony on reaction times (RTs). Moreover, pairwise comparison showed significantly faster RTs when VL was good as compared to both VL and harmony being poor, which was not the case when only harmony was good. This study thus provides evidence for the additional importance of VL for the processing of Western polyphonic music.

2020

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