38 citations · 41 across the 5 of their papers we have counts for
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eess.AS2020
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…
eess.AS2020
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…
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…