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Published in DeepMath, 2020
This is an abstract demonstrating a method of learning latent structure from data pairs using a Lie algebra.
Recommended citation: C. Ick and V. Lostanlen, "Learning a Lie Algebra from Unlabeled Data Pairs" Deepmath Conference (2020) https://arxiv.org/abs/2009.09321
Published in ICASSP, 2021
This is a conference paper demonstrating the use of multi-rate PCEN features for sound event detection and classification.
Recommended citation: C. Ick and B. McFee, "Sound Event Detection in Urban Audio with Single and Multi-Rate PCEN" ICASSP (2021) https://arxiv.org/abs/2102.03468
Published in ICASSP, 2022
This is a paper demonstrating methods of acoustic simulation for developing methods for acoustic imaging onboard the international space station, completed during my internship at Robert Bosch LLC in the summer of 2021.
Recommended citation: L. Bondi, G. Chuang, C. Ick, A. Dave, et al., "Acoustic Imaging aboard The International Space Station (ISS): Challenges and preliminary results" ICASSP (2022) https://ieeexplore.ieee.org/document/9746256
Published in Astrophysical Journal, 2022
This is a paper demonstrating using Gaussian processes to characterize quasi-periodic solar flare oscillations via kernel parameter estimation. I developed this project during my work after completing my bachelors before starting my masters at NYU CDS.
Recommended citation: M. Hübner, D. Huppenkothen, P.D. Lasky, A.R. Inglis, C. Ick, D. W. Hogg, "Searching for quasi-periodic oscillations in astrophysical transients using Gaussian processes" Astrophysical Journal (2022) https://arxiv.org/abs/2205.12716
Published in ICASSP, 2023
This is a paper demonstrating the use of phase-derived features for estimating room acoustic parameters from blind speech, completed during my internship at Sonos in the summer of 2022.
Recommended citation: C. Ick, A. Mehrabi, and W. Jin "Blind Acoustic Room Parameter Estimation Using Phase Features" ICASSP (2023) https://arxiv.org/abs/2303.07449
Published in DCASE, 2023
This is a paper demonstrating the use of acoustic simulation to augment datasets used to train sound event detection and localization algorithms.
Recommended citation: C. Ick and B. McFee, "Leveraging Geometrical Acoustic Simulations of Spatial Room Impulse Responses for Improved Sound Event Detection and Localization" DCASE (2023) https://arxiv.org/abs/2309.03337
Published in ICASSP, 2024
This is a paper demonstrating the Spatial Scaper package for generating data for training sound event localization and detection models.
Recommended citation: I.R. Roman, C. Ick, S. Ding, A.S. Roman, B. McFee and J.P. Bello "Spatial Scaper: A Library to Simulate and Augment Soundscapes for Sound Event Localization and Detection in Realistic Rooms" ICASSP (2024) https://arxiv.org/abs/2401.12238
Published:
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Published:
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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