38 citations · 41 across the 4 of their papers we have counts for
5 papers
MMM : Exploring Conditional Multi-Track Music Generation with the Transformer
Jeff Ens, Philippe Pasquier
We propose the Multi-Track Music Machine (MMM), a generative system based on the Transformer architecture that is capable of generating multi-track music. In contrast to previous w…
Quantifying Musical Style: Ranking Symbolic Music based on Similarity to a Style
Jeff Ens, Philippe Pasquier
Modelling human perception of musical similarity is critical for the evaluation of generative music systems, musicological research, and many Music Information Retrieval tasks. Alt…
Multi-label Sound Event Retrieval Using a Deep Learning-based Siamese Structure with a Pairwise Presence Matrix
Jianyu Fan, Eric Nichols, Daniel Tompkins +3
Realistic recordings of soundscapes often have multiple sound events co-occurring, such as car horns, engine and human voices. Sound event retrieval is a type of content-based sear…
A Comparative Study of Western and Chinese Classical Music based on Soundscape Models
Jianyu Fan, Yi-Hsuan Yang, Kui Dong +1
Whether literally or suggestively, the concept of soundscape is alluded in both modern and ancient music. In this study, we examine whether we can analyze and compare Western and C…
Machine Learning for Data-Driven Movement Generation: a Review of the State of the Art
Omid Alemi, Philippe Pasquier
The rise of non-linear and interactive media such as video games has increased the need for automatic movement animation generation. In this survey, we review and analyze different…