Prof. Dr. Christian Bergler

Chair of Computer Science 5 (Pattern Recognition)

Research associates

Address

Martensstraße 3
91058 Erlangen

Contact

c.bergler@oth-aw.de

Since 04/2018: PhD Student, Pattern Recognition Lab, Friedrich-Alexander University Erlangen-Nürnberg

Research focus on Deep Learning Applied to Animal Linguistics in particular the analysis of underwater audio recordings of marine animals (killer whales)

04/2016 - 03/2018: Software Engineer and external PhD Student (FAU), e.sigma Technology GmbH, Ilmenau

Software developer for communication, voice processing, and guidance systems (automated speech recognition, text-to-speech systems, language model adaption)

03/2014 - 03/2016: Master of Engineering in Information Technology and Automation, Ostbayerische Technical University of Applied Science (OTH), Amberg - Weiden, Location: Amberg

Focus on information technology
Master thesis: Parametrization of various speaker characteristics for the generation of emotions within a High Quality Limited Domain Text - to - Speech - System (HQLD-TTS)

10/2010 - 03/2014: Bachelor of Engineering in Industrial Engineering, Ostbayerische Technical University of Applied Science (OTH), Amberg - Weiden, Location: Weiden

Focus on mechanical engineering
Bachelor thesis: Development of a freeTTS-based speech-synthesis system for the training of air traffic controllers

09/2009 - 07/2010: Vocational Diploma (Fachabitur), Berufsoberschule (BOS), Schwandorf

Teaching Experience

since 03/2019: PhD Student, Friedrich-Alexander University Erlangen-Nürnberg (FAU)
- Exercises: Introduction to Pattern Recognition (IntroPR), Deep Learning
- Seminar: Automatische Analyse von Stimm-, Sprech- und Sprachstörungen bei Sprachpathologien
- Praktikum: Representation Learning
10/2011 - 06/2012: Student teaching assistant, Ostbayerische Technical University of Applied Science (OTH), Amberg - Weiden, Location: Weiden
- Modules: Mathematics/Statistics, Data Processing and Programming, Physics, Industrial Economics

Practical Experience

04/2016 - 03/2018: Software Engineer, e.sigma Technology GmbH, Ilmenau
- Automatic Speech Recognition (ASR) for Air Traffic Control (ATC)
- Controller Pilot Data Link Communication (CPDLC)
- Advanced Voice Processing (Text – to – Speech (TTS) Engine, limited Domain TTS Voice Creation)
- Communication Framework (VoIP Standard)
- Realtime Audio and Video Streaming
- Distributed System Communication via Message Broker Systems
08/2013 - 11/2015: Student trainee, e.sigma Technology GmbH, Ilmenau
- Software development, testing, maintenance, integration and documentation for the java-based freeTTS text-to-speech engine
08/2012 - 01/2013: Student trainee, Continental Automotive GmbH, Regensburg
- Support programming, integration and verification of Manufacturing Execution Systems (=MES) for all worldwide Continental
  Chassis & Safety plants

2018

Deep Learning Applied to Animal Linguistics

(FAU Funds)

Project leader: Elmar Nöth, Christian Bergler
Term: April 1, 2018 - April 1, 2022
Acronym: DeepAL

Abstract

Deep Learning Applied to Animal Linguistics in particular the analysis of underwater audio recordings of marine animals (killer whales):

For marine biologists, the interpretation and understanding of underwater audio recordings is essential. Based on such recordings, possible conclusions about behaviour, communication and social interactions of marine animals can be made. Despite a large number of biological studies on the subject of orca vocalizations, it is still difficult to recognize a structure or semantic/syntactic significance of orca signals in order to be able to derive any language and/or behavioral patterns. Due to a lack of techniques and computational tools, hundreds of hours of underwater recordings are still manually verified by marine biologists in order to detect potential orca vocalizations. In a post process these identified orca signals are analyzed and categorized. One of the main goals is to provide a robust and automatic method which is able to automatically detect orca calls within underwater audio recordings. A robust detection of orca signals is the baseline for any further and deeper analysis. Call type identification and classification based on pre-segmented signals can be used in order to derive semantic and syntactic patterns. In connection with the associated situational video recordings and behaviour descriptions (provided by several researchers on site) can provide potential information about communication (kind of a language model) and behaviors (e.g. hunting, socializing). Furthermore, orca signal detection can be used in conjunction with a localization software in order to provide researchers on the field with a more efficient way of searching the animals as well as individual recognition.

For more information about the DeepAL project please contact christian.bergler@fau.de.

→More information

2024

Conference Contributions

Lopez-Santander DA., David Rios-Urrego C., Bergler C., Nöth E., Orozco-Arroyave JR.:
Robust Classification of Parkinson’s Speech: an Approximation to a Scenario With Non-controlled Acoustic Conditions
27th International Conference on Text, Speech, and Dialogue, TSD 2024 (Brno, CZE, September 9, 2024 - September 13, 2024)
In: Elmar Nöth, Aleš Horák, Petr Sojka (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2024
DOI: 10.1007/978-3-031-70566-3_22
BibTeX: Download

2023

Journal Articles

Hauer C., Nöth E., Barnhill A., Maier A., Guthunz J., Hofer H., Cheng RX., Barth V., Bergler C.:
ORCA-SPY enables killer whale sound source simulation, detection, classification and localization using an integrated deep learning-based segmentation
In: Scientific Reports 13 (2023), Article No.: 11106
ISSN: 2045-2322
DOI: 10.1038/s41598-023-38132-7
BibTeX: Download
Bayerl SP., Gerczuk M., Batliner A., Bergler C., Amiriparian S., Schuller B., Nöth E., Riedhammer K.:
Classification of stuttering – The ComParE challenge and beyond
In: Computer Speech and Language 81 (2023), Article No.: 101519
ISSN: 0885-2308
DOI: 10.1016/j.csl.2023.101519
BibTeX: Download
Coppock H., Akman A., Bergler C., Gerczuk M., Brown C., Chauhan J., Grammenos A., Hasthanasombat A., Spathis D., Xia T., Cicuta P., Han J., Amiriparian S., Baird A., Stappen L., Ottl S., Tzirakis P., Batliner A., Mascolo C., Schuller BW.:
A summary of the ComParE COVID-19 challenges
In: Frontiers in Digital Health 5 (2023), Article No.: 1058163
ISSN: 2673-253X
DOI: 10.3389/fdgth.2023.1058163
BibTeX: Download
Brinkløv SM., Macaulay J., Bergler C., Tougaard J., Beedholm K., Elmeros M., Madsen PT.:
Open-source workflow approaches to passive acoustic monitoring of bats
In: Methods in Ecology and Evolution (2023)
ISSN: 2041-210X
DOI: 10.1111/2041-210X.14131
BibTeX: Download
Hauer C., Nöth E., Barnhill A., Maier A., Guthunz J., Hofer H., Cheng RX., Barth V., Bergler C.:
ORCA-SPY: Killer Whale Sound Source Simulation and Detection, Classification and Localization in PAMGuard Utilizing Integrated Deep Learning Based Segmentation
In: Scientific Reports UNDER REVIEW (2023)
ISSN: 2045-2322
BibTeX: Download

Thesis

Bergler C.:
Deep Learning Applied to Animal Linguistics (Dissertation, 2023)
URL: https://open.fau.de/handle/openfau/23926
BibTeX: Download

2022

Journal Articles

Bergler C., Smeele SQ., Tyndel SA., Barnhill A., Ortiz ST., Kalan AK., Cheng RX., Brinkløv S., Osieka AN., Tougaard J., Jakobsen F., Wahlberg M., Nöth E., Maier A., Klump BC.:
ANIMAL‐SPOT enables animal‐independent signal detection and classification using deep learning
In: Scientific Reports 12 (2022), p. 1-16
ISSN: 2045-2322
DOI: 10.1038/s41598-022-26429-y
BibTeX: Download

Conference Contributions

Schuller BW., Batliner A., Amiriparian S., Bergler C., Gerczuk M., Holz N., Larrouy-Maestri P., Bayerl S., Riedhammer K., Mallol-Ragolta A., Pateraki M., Coppock H., Kiskin I., Sinka M., Roberts S.:
The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes
30th ACM International Conference on Multimedia (Lisbon, Portugal, October 10, 2022 - October 14, 2022)
In: Proceedings of the 30th ACM International Conference on Multimedia 2022
DOI: 10.1145/3503161.3551591
BibTeX: Download
Bergler C., Barnhill A., Perrin D., Schmitt M., Maier A., Nöth E.:
ORCA-WHISPER: An Automatic Killer Whale Sound Type Generation Toolkit Using Deep Learning
23nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2022 (Incheon, Korea, September 18, 2022 - September 22, 2022)
In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2022 2022
DOI: 10.21437/interspeech.2022-846
BibTeX: Download
Bergler C., Schmitt M., Maier A., Cheng RX., Barth V., Nöth E.:
ORCA-PARTY: An Automatic Killer Whale Sound Type Separation Toolkit Using Deep Learning
International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (Singapore, May 22, 2022 - May 27, 2022)
In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022
DOI: 10.1109/icassp43922.2022.9746623
BibTeX: Download

2021

Journal Articles

Bergler C., Gebhard A., Towers JR., Butyrev L., Sutton GJ., Shaw TJH., Maier A., Nöth E.:
FIN-PRINT a fully-automated multi-stage deep-learning-based framework for the individual recognition of killer whales
In: Scientific Reports 11 (2021), p. 1-16
ISSN: 2045-2322
DOI: 10.1038/s41598-021-02506-6
BibTeX: Download
Marzahl C., Aubreville M., Bertram CA., Maier J., Bergler C., Kröger C., Voigt J., Breininger K., Klopfleisch R., Maier A.:
EXACT: a collaboration toolset for algorithm-aided annotation of images with annotation version control
In: Scientific Reports 11 (2021), Article No.: 4343
ISSN: 2045-2322
DOI: 10.1038/s41598-021-83827-4
BibTeX: Download
Mohamed MM., Nessiem MA., Batliner A., Bergler C., Hantke S., Schmitt M., Baird A., Mallol-Ragolta A., Karas V., Amiriparian S., Schuller BW.:
Face mask recognition from audio: The MASC database and an overview on the mask challenge
In: Pattern Recognition 122 (2021), p. 108361
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2021.108361
BibTeX: Download

Conference Contributions

Jiang G., Biswas A., Bergler C., Maier A.:
InSE-NET: A Perceptually Coded Audio Quality Model based on CNN
151st Audio Engineering Society (AES) Convention (Las Vegas, Nevada, USA, October 11, 2021 - October 13, 2021)
In: Audio Engineering Society Convention 151 2021
BibTeX: Download
Bergler C., Schmitt M., Maier A., Symonds H., Spong P., Ness S., Tzanetakis G., Nöth E.:
ORCA-SLANG: An Automatic Multi-Stage Semi-Supervised Deep Learning Framework for Large-Scale Killer Whale Call Type Identification
22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021 (Brno, Czechia, August 30, 2021 - September 3, 2021)
In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2021 2021
DOI: 10.21437/Interspeech.2021-616
BibTeX: Download
Schuller B., Batliner A., Bergler C., Mascolo C., Han J., Lefter I., Kaya H., Amiriparian S., Baird A., Stappen L., Ottl S., Gerczuk M., Tzirakis P., Brown C., Chauhan J., Grammenos A., Hasthanasombat A., Spathis D., Xia T., Cicuta P., Rothkrantz LJM., Zwerts JA., Treep J., Kaandorp C.:
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates
22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021 (Brno, Czechia, August 30, 2021 - September 3, 2021)
In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2021 2021
DOI: 10.21437/Interspeech.2021-19
BibTeX: Download

2020

Conference Contributions

Bergler C., Schmitt M., Maier A., Smeele S., Barth V., Nöth E.:
ORCA-CLEAN: A Deep Denoising Toolkit for Killer Whale Communication
21th Annual Conference of the International Speech Communication Association: Cognitive Intelligence for Speech Processing, INTERSPEECH 2020 (Shanghai, China, October 25, 2020 - October 29, 2020)
In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2020 2020
DOI: 10.21437/Interspeech.2020-1316
BibTeX: Download
Schuller B., Batliner A., Bergler C., Messner EM., Hamilton A., Amiriparian S., Baird A., Rizos G., Schmitt M., Stappen L., Baumeister H., MacIntyre AD., Hantke S.:
The INTERSPEECH 2020 Computational Paralinguistics Challenge: Elderly Emotion, Breathing & Masks
21th Annual Conference of the International Speech Communication Association: Cognitive Intelligence for Speech Processing, INTERSPEECH 2020 (Shanghai, China, October 25, 2020 - October 29, 2020)
In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2020 2020
DOI: 10.21437/Interspeech.2020-0032
BibTeX: Download

2019

Journal Articles

Bergler C., Schröter H., Cheng RX., Barth V., Weber M., Nöth E., Hofer H., Maier A.:
ORCA-SPOT: An Automatic Killer Whale Sound Detection Toolkit Using Deep Learning
In: Scientific Reports 9 (2019), p. 1-17
ISSN: 2045-2322
DOI: 10.1038/s41598-019-47335-w
BibTeX: Download

Conference Contributions

Schröter H., Nöth E., Maier A., Cheng R., Barth V., Bergler C.:
Segmentation, Classification, and Visualization of Orca Calls Using Deep Learning
International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (Brighton, May 12, 2019 - May 17, 2019)
In: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2019
DOI: 10.1109/ICASSP.2019.8683785
URL: https://ieeexplore.ieee.org/abstract/document/8683785
BibTeX: Download
Mustafa A., Biswas A., Bergler C., Schottenhamml J., Maier A.:
Analysis by adversarial synthesis - A novel approach for speech vocoding
20th Annual Conference of the International Speech Communication Association: Crossroads of Speech and Language, INTERSPEECH 2019 (Graz, AUT, September 15, 2019 - September 19, 2019)
In: Gernot Kubin, Thomas Hain, Bjorn Schuller, Dina El Zarka, Petra Hodl (ed.): Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2019
DOI: 10.21437/Interspeech.2019-1195
BibTeX: Download
Bergler C., Schmitt M., Cheng RX., Maier A., Barth V., Nöth E.:
Deep Learning for Orca Call Type Identification – A Fully Unsupervised Approach
20th Annual Conference of the International Speech Communication Association: Crossroads of Speech and Language, INTERSPEECH 2019 (Graz, September 15, 2019 - September 19, 2019)
In: Gernot Kubin, Thomas Hain, Bjorn Schuller, Dina El Zarka, Petra Hodl (ed.): Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2019
DOI: 10.21437/Interspeech.2019-1857
BibTeX: Download
Bergler C., Schmitt M., Cheng RX., Schröter H., Maier A., Barth V., Weber M., Nöth E.:
Deep Representation Learning for Orca Call Type Classification
22nd International Conference on Text, Speech, and Dialogue, TSD 2019 (Ljubljana, September 11, 2019 - September 13, 2019)
In: Kamil Ekštein (ed.): Text, Speech, and Dialogue, 22nd International Conference, TSD 2019, Ljubljana, Slovenia, September 11–13, 2019, Proceedings 2019
DOI: 10.1007/978-3-030-27947-9_23
BibTeX: Download
Schuller B., Batliner A., Bergler C., Porkony FB., Krajewski J., Cychosz M., Vollmann R., Roelen SD., Schnieder S., Bergelson E., Cristia A., Seidl A., Warlaumont AS., Yankowitz L., Nöth E., Amiriparian S., Hantke S., Schmitt M.:
The INTERSPEECH 2019 Computational Paralinguistics Challenge: Styrian Dialects, Continuous Sleepiness, Baby Sounds & Orca Activity
20th Annual Conference of the International Speech Communication Association: Crossroads of Speech and Language, INTERSPEECH 2019 (Graz, AUT, September 15, 2019 - September 19, 2019)
In: Gernot Kubin, Thomas Hain, Bjorn Schuller, Dina El Zarka, Petra Hodl (ed.): Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2019 2019
DOI: 10.21437/Interspeech.2019-1122
BibTeX: Download

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Prof. Dr. Christian Bergler

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Academic CV

Projects

2018

Deep Learning Applied to Animal Linguistics

Publications

2024

Conference Contributions

2023

Journal Articles

Thesis

2022

Journal Articles

Conference Contributions

2021

Journal Articles

Conference Contributions

2020

Conference Contributions

2019

Journal Articles

Conference Contributions

Awards

Lectures