[PDF][PDF] Groovenet: Real-time music-driven dance movement generation using artificial neural networks
We present the preliminary results of GrooveNet, a generative system that learns to
synthesize dance movements for a given audio track in real-time. Our intended application …
synthesize dance movements for a given audio track in real-time. Our intended application …
Gesture–vocal coupling in Karnatak music performance: A neuro–bodily distributed aesthetic entanglement
In many musical styles, vocalists manually gesture while they sing. Coupling between
gesture kinematics and vocalization has been examined in speech contexts, but it is an …
gesture kinematics and vocalization has been examined in speech contexts, but it is an …
[PDF][PDF] Machine learning of musical gestures: Principles and review
We present an overview of machine learning (ML) techniques and their application in
interactive music and new digital instrument design. We first provide the non-specialist …
interactive music and new digital instrument design. We first provide the non-specialist …
Piano genie
We present Piano Genie, an intelligent controller which allows non-musicians to improvise
on the piano. With Piano Genie, a user performs on a simple interface with eight buttons …
on the piano. With Piano Genie, a user performs on a simple interface with eight buttons …
Musicians are more consistent: Gestural cross-modal map**s of pitch, loudness and tempo in real-time
Cross-modal map**s of auditory stimuli reveal valuable insights into how humans make
sense of sound and music. Whereas researchers have investigated cross-modal map**s …
sense of sound and music. Whereas researchers have investigated cross-modal map**s …
Map** through listening
Gesture-to-sound map** is generally defined as the association between gestural and
sound parameters. This article describes an approach that brings forward the perception …
sound parameters. This article describes an approach that brings forward the perception …
Analyzing correspondence between sound objects and body motion
Links between music and body motion can be studied through experiments called sound-
tracing. One of the main challenges in such research is to develop robust analysis …
tracing. One of the main challenges in such research is to develop robust analysis …
Analyzing free-hand sound-tracings of melodic phrases
In this paper, we report on a free-hand motion capture study in which 32 participants
'traced'16 melodic vocal phrases with their hands in the air in two experimental conditions …
'traced'16 melodic vocal phrases with their hands in the air in two experimental conditions …
Multimodal music datasets? Challenges and future goals in music processing
The term “multimodal music dataset” is often used to describe music-related datasets that
represent music as a multimedia art form and multimodal experience. However, the term …
represent music as a multimedia art form and multimodal experience. However, the term …
Investigating the influence of musical training on cross-modal correspondences and sensorimotor skills in a real-time drawing paradigm
Previous research comparing musically trained and untrained individuals has yielded
valuable insights into music cognition and behaviour. Here, we explore two aspects of …
valuable insights into music cognition and behaviour. Here, we explore two aspects of …