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Hannes Kath

4 accepted papers

2024

Demo: Enhancing Wildlife Acoustic Data Annotation Efficiency through Transfer and Active Learning

IJCAI 2024poster

Passive Acoustic Monitoring (PAM) has become a key technology in wildlife monitoring, generating large amounts of acoustic data. However, the effective application of machine learning methods for sound event detection in PAM datasets is highly dependent on the accessibility of annotated data, a proc…

Cited by 3SourcePDFScholar
2023

A Human-in-the-Loop Tool for Annotating Passive Acoustic Monitoring Datasets

IJCAI 2023poster

Deep learning methods are well suited for data analysis in several domains, but application is often limited by technical entry barriers and the availability of large annotated datasets. We present an interactive machine learning tool for annotating passive acoustic monitoring datasets created for w…

Cited by 10SourcePDFScholar
2023

Interactive Machine Learning Solutions for Acoustic Monitoring of Animal Wildlife in Biosphere Reserves

IJCAI 2023poster

Biodiversity loss is taking place at accelerated rates globally, and a business-as-usual trajectory will lead to missing internationally established conservation goals. Biosphere reserves are sites designed to be of global significance in terms of both the biodiversity within them and their potentia…

Cited by 9SourcePDFScholar
2022

Carina - A Corpus of Aligned German Read Speech Including Annotations

ICASSP 2022accepted

This paper presents the semi-automatically created Corpus of Aligned Read Speech Including Annotations (CARInA), a speech corpus based on the German Spoken Wikipedia Corpus (GSWC). CARInA tokenizes, consolidates and organizes the vast, but rather unstructured material contained in GSWC. The contents…

Cited by 0SourceScholar