ASMSP-P1.6
INDUCTIVE REPRESENTATION LEARNING WITH LSTM AGGREGATOR FOR MULTI-LABEL DETECTION OF AVIAN CALLS IN FIELD RECORDINGS
Noumida A, Rajeev Rajan, APJ Abdul Kalam Technological University, India
Session:
ASMSP-P1: Sound Event Detection and Classification Poster
Track:
ASMSP - Acoustic, Speech and Music Signal Processing
Location:
Poster Area A
Presentation Time:
Tue, 9 Sep, 10:50 - 12:30 Italy Time (UTC +2)
Session Chair:
Stavros Ntalampiras, Università degli studi Milano
Presentation
Discussion
Resources
No resources available.
Session ASMSP-P1
ASMSP-P1.1: Exploring Performance–Complexity Trade-Offs in Sound Event Detection Models
Tobias Morocutti, Florian Schmid, Jonathan Greif, Francesco Foscarin, Gerhard Widmer, Johannes Kepler University Linz, Austria
ASMSP-P1.2: Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection
Shiqi Zhang, Tuomas Virtanen, Tampere University, Finland
ASMSP-P1.3: ON THE ROBUSTNESS OF STATE-OF-THE-ART TRANSFORMERS FOR SOUND EVENT CLASSIFICATION AGAINST BLACK BOX ADVERSARIAL ATTACKS
Christos Nikou, Vasilis Theiou, Stefanos Vlachos, Christos Sgouropoulos, Dimitris Sgouropoulos, Theodoros Giannakopoulos, National Centre of Scientific Research, Greece
ASMSP-P1.4: Passive Detection of Scooter's Underwater Radiated Noise
Roee Diamant, University of Haifa, Israel; Fausto Ferreira, Faculty of Electrical and Computing Engineering, University of Zagreb, Croatia (Hrvatska)
ASMSP-P1.5: On acoustic monitoring of rainfall intensity
Carlo Monti, Stavros Ntalampiras, Università degli studi Milano, Italy
ASMSP-P1.6: INDUCTIVE REPRESENTATION LEARNING WITH LSTM AGGREGATOR FOR MULTI-LABEL DETECTION OF AVIAN CALLS IN FIELD RECORDINGS
Noumida A, Rajeev Rajan, APJ Abdul Kalam Technological University, India
ASMSP-P1.7: A Small-Footprint Deep-Learning Solution for Real-Time In-Car Emergency Vehicle Detection
Francesco Bossio, Paolo Bestagini, Politecnico di Milano, Italy; Luca Menescardi, Federico Maver, Daniele Foscarin, Michele Buccoli, Simone Pecorino, BdSound S.r.l., Italy