Research output per year
Research output per year
Personal profile
Research interests
I am Interested in investigating how deep learning methods can help us classify animal sounds.
Research interests
I am primarily interested in
- pretraind bioacoustic deep learning models
- exploring embedding spaces using clustering and classification
- investigating out-of-distribution measures to identify clusters
- investigating how training domain, paradigm and architecture affect downstream performance
- visualizing embedding spaces
Education/Academic qualification
Other, Master’s Degree, MSc Audio Communication and Technology, Technical University of Berlin
1 Oct 2019 → 23 Jun 2023
Award Date: 23 Jun 2023
Mechanical engineering, Bachelor’s Degree, BSc Engineering Science, Technical University of Berlin
1 Oct 2013 → 30 Jan 2018
Award Date: 30 Jan 2018
External positions
PhD Candidate, Naturalis Biodiversity Center
1 Apr 2024 → 31 Mar 2028
Keywords
- Bioacoustics
- Deep Learning
- Ecology
- Anomaly Detection
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Clustering and novel class recognition: evaluating bioacoustic deep learning feature extractors
Kather, V. S., Ghani, B. & Stowell, D., 9 Apr 2025, Proceedings of the 11th Convention of the European Acoustics Association: Forum Acusticum EuroNoise 2025. p. 2153-2160 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile18 Downloads (Pure) -
Development of a machine learning detector for North Atlantic humpback whale song
Kather, V., Seipel, F., Berges, B., Davis, G., Gibson, C., Harvey, M., Henry, L.-A., Stevenson, A. & Risch, D., 1 Mar 2024, In: The Journal of the Acoustical Society of America. 155, 3, p. 2050-2064 15 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile3 Downloads (Pure) -
Interaction of equivalence ratio fluctuations and flow fluctuations in acoustically forced swirl flames
Kather, V., Lückoff, F., Paschereit, C. O. & Oberleithner, K., Jun 2021, In: International Journal of Spray and Combustion Dynamics.Research output: Contribution to journal › Article › Scientific › peer-review
Projects
- 1 Active
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Identifying unknown species and unknown sounds using machine learning
Kather, V. (Researcher) & Stowell, D. (Principal Investigator)
1/04/24 → 31/03/28
Project: Research project