Recent advances in visually-induced audio generation are based on sampling short, low-
fidelity, and one-class sounds. Moreover, sampling 1 second of audio from the state-of-the …

This paper proposes a model that generates a drum track in the audio domain to play along
to a user-provided drum-free recording. Specifically, using paired data of drumless tracks …

Recent advancements in generative audio synthesis have allowed for the development of
creative tools for generation and manipulation of audio. In this paper, a strategy is proposed …

In contemporary popular music production, drum sound design is commonly performed by
cumbersome browsing and processing of pre-recorded samples in sound libraries. One can …

Neural audio synthesizers exploit deep learning as an alternative to traditional synthesizers
that generate audio from hand-designed components such as oscillators and wavetables …

This paper introduces the Generative Sample Map (GESAM), a novel two-stage
unsupervised learning framework capable of generating high-quality and expressive audio …

The ability to perceptually modify drum recording parameters in a post-recording process
would be of great benefit to engineers limited by time or equipment. In this work, a …

Within the creative industries, music information retrieval techniques are now being applied
in a variety of music creation and production applications. Audio artists incorporate …

Creating a naturalistic speech stimulus continuum (ie, a series of stimuli equally spaced
along a specific acoustic dimension between two given categories) is an indispensable …

A common, and arguably innate, human response when listening to music is to tap one's
foot to mark the regular pulse of the beat. A more complex form of interactive synchronization …