1 code implementation • 19 Jan 2024 • Iran R. Roman, Christopher Ick, Sivan Ding, Adrian S. Roman, Brian McFee, Juan P. Bello
Major advancements rely on simulated data with sound events in specific rooms and strong spatio-temporal labels.
1 code implementation • 6 Sep 2023 • 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.
no code implementations • 13 Mar 2023 • 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.
no code implementations • 6 Feb 2021 • 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 spectrograms in acoustic sound event detection (SED) in a multi-class setting with overlapping events.
no code implementations • 19 Sep 2020 • Christopher Ick, Vincent Lostanlen
Deep convolutional networks (convnets) show a remarkable ability to learn disentangled representations.