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Philippe Pasquier

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.SD2
  • cs.LG1
  • eess.AS1
ORCID 0000-0001-8675-3561

identity via Semantic Scholar / OpenAlex

most citedMMM : Exploring Conditional Multi-Track Music Generation with the Transformer

38 citations · 41 across the 4 of their papers we have counts for

collaborators

4 papers

cs.SD2020★ 38 cited

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…

eess.AS2020

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…

cs.SD2020

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…

cs.LG2019★ 3 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.