38 citations · 44 across the 7 of their papers we have counts for
7 papers
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition
Renaud Bougueng Tchemeube, Jeff Ens, Cale Plut +4
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…
Calliope: An Online Generative Music System for Symbolic Multi-Track Composition
Renaud Bougueng Tchemeube, Jeff Ens, Philippe Pasquier
With the rise of artificial intelligence in recent years, there has been a rapid increase in its application towards creative domains, including music. There exist many systems bui…
Apollo: An Interactive Environment for Generating Symbolic Musical Phrases using Corpus-based Style Imitation
Renaud Bougueng Tchemeube, Jeff Ens, Philippe Pasquier
With the recent developments in machine intelligence and web technologies, new generative music systems are being explored for assisted composition using machine learning technique…
The GigaMIDI Dataset with Features for Expressive Music Performance Detection
Keon Ju Maverick Lee, Jeff Ens, Sara Adkins +3
The Musical Instrument Digital Interface (MIDI), introduced in 1983, revolutionized music production by allowing computers and instruments to communicate efficiently. MIDI files en…
MIDI-GPT: A Controllable Generative Model for Computer-Assisted Multitrack Music Composition
Philippe Pasquier, Jeff Ens, Nathan Fradet +4
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…
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…