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Philippe Pasquier

4 accepted papers

2025

MIDI-GPT: A Controllable Generative Model for Computer-Assisted Multitrack Music Composition

AAAI 2025technical

We present and release MIDI-GPT, a generative system based on the Transformer architecture that is designed for computer-assisted music composition workflows. MIDI-GPT supports the infilling of musical material at the track and bar level, and can condition generation on attributes including: instrum…

Cited by 0SourcePDFScholar
2023

Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition

IJCAI 2023poster

With the rise of artificial intelligence (AI), there has been increasing interest in human-AI co-creation in a variety of artistic domains including music as AI-driven systems are frequently able to generate human-competitive artifacts. Now, the implications of such systems for the musical practice…

Cited by 17SourcePDFScholar
2020

A Comparative Study of Western and Chinese Classical Music Based on Soundscape Models

ICASSP 2020accepted

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 Chinese classical music based on soundscape models. We addressed this question through a comparative study. Specifically,…

Cited by 0SourceScholar
2020

Multi-Label Sound Event Retrieval Using A Deep Learning-Based Siamese Structure With A Pairwise Presence Matrix

ICASSP 2020accepted

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 contentbased search aiming at finding audio samples, similar to an audio query based on their acoustic or semantic content. State of the a…

Cited by 0SourceScholar