22 citations · 26 across the 5 of their papers we have counts for
6 papers
Spatial Scaper: A Library to Simulate and Augment Soundscapes for Sound Event Localization and Detection in Realistic Rooms
Iran R. Roman, Christopher Ick, Sivan Ding +3
Sound event localization and detection (SELD) is an important task in machine listening. Major advancements rely on simulated data with sound events in specific rooms and strong sp…
Leveraging Geometrical Acoustic Simulations of Spatial Room Impulse Responses for Improved Sound Event Detection and Localization
Christopher Ick, Brian McFee
As deeper and more complex models are developed for the task of sound event localization and detection (SELD), the demand for annotated spatial audio data continues to increase. An…
Blind Acoustic Room Parameter Estimation Using Phase Features
Christopher Ick, Adib Mehrabi, Wenyu Jin
Modeling room acoustics in a field setting involves some degree of blind parameter estimation from noisy and reverberant audio. Modern approaches leverage convolutional neural netw…
Searching for quasi-periodic oscillations in astrophysical transients using Gaussian processes
M. Hübner, D. Huppenkothen, P. D. Lasky +3
Analyses of quasi-periodic oscillations (QPOs) are important to understanding the dynamic behaviour in many astrophysical objects during transient events like gamma-ray bursts, sol…
Sound Event Detection in Urban Audio With Single and Multi-Rate PCEN
Christopher Ick, Brian McFee
Recent literature has demonstrated that the use of per-channel energy normalization (PCEN), has significant performance improvements over traditional log-scaled mel-frequency spect…
Learning a Lie Algebra from Unlabeled Data Pairs
Christopher Ick, Vincent Lostanlen
Deep convolutional networks (convnets) show a remarkable ability to learn disentangled representations. In recent years, the generalization of deep learning to Lie groups beyond ri…