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Maarten Van Segbroeck

2 accepted papers

2023

Transformer-Based Bioacoustic Sound Event Detection on Few-Shot Learning Tasks

ICASSP 2023accepted

Automatic detection of bioacoustic sound events is crucial to monitor wildlife. With a tedious annotation process, limited labeled events and large volume of recordings, few-shot learning (FSL) is suitable for such event detections based on a few examples. Typical FSL frameworks for sound detection…

Cited by 0SourceScholar
2015

Improvements to the IBM speech activity detection system for the DARPA RATS program

ICASSP 2015accepted

In this paper we describe improvements to the IBM speech activity detection (SAD) system for the third phase of the DARPA RATS program. The progress during this final phase comes from jointly training convolutional and regular deep neural networks with rich time-frequency representations of speech.…

Cited by 93SourceScholar