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Philippe Pasquier

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10 papers
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10

AAAI Conference 2025 Conference Paper

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

  • Philippe Pasquier
  • Jeff Ens
  • Nathan Fradet
  • Paul Triana
  • Davide Rizzotti
  • Jean-Baptiste Rolland
  • Maryam Safi

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: instrument type, musical style, note density, polyphony level, and note duration. In order to integrate these features, we employ an alternative representation for musical material, creating a time-ordered sequence of musical events for each track and concatenating several tracks into a single sequence, rather than using a single time-ordered sequence where the musical events corresponding to different tracks are interleaved. We also propose a variation of our representation allowing for expressiveness. We present experimental results that demonstrate that MIDI-GPT is able to consistently avoid duplicating the musical material it was trained on, generate music that is stylistically similar to the training dataset, and that attribute controls allow enforcing various constraints on the generated material. We also outline several real-world applications of MIDI-GPT, including collaborations with industry partners that explore the integration and evaluation of MIDI-GPT into commercial products, as well as several artistic works produced using it.

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IJCAI Conference 2023 Conference Paper

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

  • Renaud Bougueng Tchemeube
  • Jeffrey Ens
  • Cale Plut
  • Philippe Pasquier
  • Maryam Safi
  • Yvan Grabit
  • Jean-Baptiste Rolland

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 are being investigated. This paper reports on a thorough evaluation of the user adoption of the Multi-Track Music Machine (MMM) as a minimal co-creative AI tool for music composers. To do this, we integrate MMM into Cubase, a popular Digital Audio Workstation (DAW), by producing a "1-parameter" plugin interface named MMM-Cubase, which enables human-AI co-composition. We conduct a 3-part mixed method study measuring usability, user experience and technology acceptance of the system across two groups of expert-level composers: hobbyists and professionals. Results show positive usability and acceptance scores. Users report experiences of novelty, surprise and ease of use from using the system, and limitations on controllability and predictability of the interface when generating music. Findings indicate no significant difference between the two user groups.

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JAAMAS Journal 2010 Journal Article

An empirical study of interest-based negotiation

  • Philippe Pasquier
  • Ramon Hollands
  • Liz Sonenberg

Abstract While argumentation-based negotiation has been accepted as a promising alternative to game-theoretic or heuristic-based negotiation, no evidence has been provided to confirm this theoretical advantage. We propose a model of bilateral negotiation extending a simple monotonic concession protocol by allowing the agents to exchange information about their underlying interests and possible alternatives to achieve them during the negotiation. We present an empirical study that demonstrates (through simulation) the advantages of this interest-based negotiation approach over the more classic monotonic concession approach to negotiation.

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IROS Conference 2010 Conference Paper

Complete and robust cooperative robot area coverage with limited range

  • Pooyan Fazli
  • Alireza Davoodi
  • Philippe Pasquier
  • Alan K. Mackworth

We address the problem of multi-robot area coverage and present a new approach in the case where the map of the area and its static obstacles are known and the robots have a limited visibility range. The proposed method starts by locating a set of static guards on the map of the target area and then builds a graph called Reduced-CDT, a new environment representation method based on the Constrained Delaunay Triangulation (CDT). Multi-Prim's is used to decompose the graph into a forest of partial spanning trees (PSTs). Each PST is then modified through a mechanism called Constrained Spanning Tour (CST) to build a cycle which is then assigned to an individual robot. Subsequently, robots start navigating the cycles and consequently cover the whole area. We show that the proposed approach is complete and robust with respect to robot failure.

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JAAMAS Journal 2006 Journal Article

Conversational semantics sustained by commitments

  • Roberto A. Flores
  • Philippe Pasquier
  • Brahim Chaib-draa

Abstract We propose an operational model that combines message meaning and conversational structure in one comprehensive approach. Our long-term research goal is to lay down principles uniting message meaning and conversational structure while providing an operational foundation that could be implemented in open computer systems. In this paper we explore our advances in one aspect of meaning that in theories of language use is known as “signal meaning”, and propose a layered model in which the meaning of messages can be defined according to their fitness to advance the state of joint activities. Messages in our model are defined in terms of social commitments, which have been shown to entice conversational structure.

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JAAMAS Journal 2006 Journal Article

DIAGAL: An Agent Communication Language Based on Dialogue Games and Sustained by Social Commitments

  • Brahim Chaib-draa
  • Marc-André Labrie
  • Philippe Pasquier

Abstract In recent years, social commitment based approaches have been proposed to solve problems issuing from previous mentalistic based semantics for agent communication languages. This paper follows the same line of thought since it presents the latest version of our dialogue game based agent communication language – DIAlogue-Game based Agent Language (DIAGAL) – which allows agents to manipulate the public layer of social commitments through dialogue, by creating, canceling and updating their social commitments. To make apparent such commitments, we consider here Agent Communication Language (ACL) from the dialectic point of view, where agents “play a game” based on commitments. Such games based on commitments are incorporated in the DIAGAL language, which has been developed having in mind the following questions: (a) What kind of structure does the game have? How are rules specified within the game? (b) What kind of games compositions are allowed? (c) How do participants in conversations reach agreement on the current game? How are games opened or closed? Using such games we show how we can study the commitments dynamic to model agent dialogue and we present metrics that can be used to evaluate the quality of a dialogue between agents. Next, we use an example (summer festival organization) to show how DIAGAL can be used in analyzing and modeling automated conversations in offices. Finally, we present the results and analysis of the summer festival simulations that we realized through our dialogue game simulator (DGS).

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