Music source separation is the task of decomposing music into its constitutive components,
eg, yielding separated stems for the vocals, bass, and drums. Such a separation has many …

Cracks and keyhole pores are detrimental defects in alloys produced by laser directed
energy deposition (LDED). Laser-material interaction sound may hold information about …

This paper describes Asteroid, the PyTorch-based audio source separation toolkit for
researchers. Inspired by the most successful neural source separation systems, it provides …

We present ESPnet-SE, which is designed for the quick development of speech
enhancement and speech separation systems in a single framework, along with the optional …

We introduce the active audio-visual source separation problem, where an agent must move
intelligently in order to better isolate the sounds coming from an object of interest in its …

This paper presents recent progress on integrating speech separation and enhancement
(SSE) into the ESPnet toolkit. Compared with the previous ESPnet-SE work, numerous …

Objective This study aims to explore speech as an alternative modality for human activity
recognition (HAR) in medical settings. While current HAR technologies rely on video and …

There are a number of efforts in the MIR community towards increased reproducibility, such
as creating more open datasets, publishing code, and the use of common software libraries …

In-situ monitoring is crucial for detecting process anomalies and ensuring part quality in
additive manufacturing. Acoustic-based monitoring techniques offer extra benefits such as …

Despite the excellent performance of neural-network-based audio source separation
methods and their wide range of applications, their robustness against intentional attacks …