Sound and movement are closely coupled, particularly in dance. Certain audio features have been found to affect the way we move to music. Is this relationship between sound and movement something which can be modelled using machine learning?
Nov 26, 2020
This work presents initial experiments wherein high-level audio features calculated from a set of music pieces are included in a movement generation model ...
In this work, we present a method for generating sound-tracings using a mixture density recurrent neural network (MDRNN). A sound-tracing is a rendering of ...
Nov 12, 2024 · Towards Movement Generation with Audio Features. Download PDF ... OpenReview is a long-term project to advance science through improved ...
Sound and movement are closely coupled, particularly in dance. Certain audio features have been found to affect the way we move to music.
Title: Towards Movement Generation with Audio Features · Authors: Benedikte Wallace, Charles P. Martin, Jim Tørresen, Kristian Nymoen · Venue: ICCC 2020 · Venueid: ...
Our results indicate that the model learns to generate realistic dance movements which vary depending on the audio features. Audio and Speech Processing; Sound.
Aug 5, 2022 · A dance movement generation algorithm based on deep learning is designed to extract the mapping between sound and motion features to solve these ...
Towards Movement Generation with Audio Features. ICCC 2020: 284-287. [i1]. view. electronic edition @ arxiv.org (open access); references & citations. export ...
We present GrooveNet, a system for real-time music-driven dance generation that uses artificial neural networks to learn the relationships between audio ...