Robust Multicomponent Tracking of Ultrasonic Vocalizations
Ultrasonic vocalizations (USV) convey information about individual identity and arousal status in mice. We propose to track USV as ridges in the time–frequency domain via a variant of time– frequency reassignment (TFR). The key idea is to perform TFR with empirical Wiener shrinkage and multitapering to improve robustness to noise. Furthermore, we perform TFR over both the short-term Fourier transform and the constant-Q transform so as to detect both the fundamental frequency and its harmonic partial (if any). Experimental results show that our approach effectively estimates multicomponent ridges with high precision and low frequency deviation.
Authors
- Sarah M. Zala (ORCID: https://orcid.org/0000-0002-0698-5299)
- Dustin J. Penn (ORCID: https://orcid.org/0000-0002-5406-8065)
- Vincent Lostanlen (ORCID: https://orcid.org/0000-0003-0580-1651)
- Reyhaneh Abbasi (ORCID: https://orcid.org/0000-0002-8423-6672)
- Nicki Holighaus (ORCID: https://orcid.org/0000-0003-3837-2865)
- Péter Balázs (ORCID: https://orcid.org/0000-0003-4939-0831)
Institutions
- École Centrale de Nantes (FR)
- Centre National de la Recherche Scientifique (FR)
- Austrian Academy of Sciences (AT)
- University of Veterinary Medicine Vienna (AT)
- Acoustics Research Institute (AT)
- Laboratoire des Sciences du Numérique de Nantes (FR)
- Nantes Université (FR)
Publication Details
- Published
- 2025-03-12
- DOI
- https://doi.org/10.1109/icassp49660.2025.10890025
- Primary Topic
- Speech and Audio Processing
- Type
- article
- Field-Weighted Citation Impact
- 0.00