38 citations · 91 across the 13 of their papers we have counts for
5 papers · 1 filter
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…
Introducing Latent Timbre Synthesis
K. Tatar, D. Bisig, P. Pasquier
We present the Latent Timbre Synthesis (LTS), a new audio synthesis method using Deep Learning. The synthesis method allows composers and sound designers to interpolate and extrapo…
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…