Lars Hertel, M.Sc.

Research Associate

Contact Information

Lars Hertel, M.Sc.
Institute for Signal Processing
University of Luebeck
Ratzeburger Allee 160
D-23562 Lübeck
Germany

Telephone:
Telefax:
Email:

hertel(at)isip.uni-luebeck.de 

Research Interests

  • Machine Learning
  • Deep Learning
  • Speech Recognition
  • Object Recognition and Detection
  • Acoustic Event Detection
  • Pattern Recognition
  • Data Mining

Publications

2017

  • Phan, H., Koch, P., Hertel, L., Maass, M., Mazur, R., and Mertins, A.: CNN-LTE: a Class of 1-X Pooling Convolutional Neural Networks on Label Tree Embeddings for Audio Scene Classification. Proc. 42nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), New Orleans, USA, March 2017
    BibTeX PDF

2016

  • Phan, H., Hertel, L., Maass, M., Koch, P., and Mertins, A.: Label Tree Embeddings for Acoustic Scene Classification. Proc. 24th ACM International Multimedia Conference (ACM Multimedia 2016), Amsterdam, The Netherlands, October 2016
    BibTeX PDF
  • Phan, H., Hertel, L., Maass, M., and Mertins, A.: Robust Audio Event Recognition with 1-Max Pooling Convolutional Neural Networks. Proc. 17th Annual Conference of the International Speech Communication Association (INTERSPEECH 2016), San Francisco, USA, September 2016
    BibTeX PDF
  • Phan, H., Hertel, L., Maass, M., Mazur, R., and Mertins, A.: Learning Representations for Nonspeech Audio Events through Their Similarities to Speech Patterns. IEEE/ACM Trans. Audio, Speech, and Language Processing, vol. 24, no. 4, pp. 807-822, April 2016
    BibTeX PDF
  • Phan, H., Maass, M., Hertel, L., Mazur, R., McLoughlin, I., and Mertins, A.: Learning Compact Structural Representations for Audio Events Using Regressor Banks. Proc. 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Shanghai, China, pp. 211-215, March 2016
    Award SPS Travel Grant
    BibTeX PDF

2015

  • Phan, H., Maass, M., Hertel, L., Mazur, R., and Mertins, A.: A Multi-Channel Fusion Framework for Audio Event Detection. Proc. 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2015), New York, USA, pp. 1-5, October 2015
    BibTeX PDF
  • Phan, H., Hertel, L., Maass, M., Mazur, R., and Mertins, A.: Representing Nonspeech Audio Signals through Speech Classification Models. Proc. 16th Annual Conference of the International Speech Communication Association (INTERSPEECH 2015), Dresden, Germany, pp. 3441-3445, September 2015
    Award Best Student Paper Award Finalist, ISCA Travel Grant
    BibTeX PDF
  • Phan, H., Hertel, L., Maass, M., Mazur, R., and Mertins, A.: Audio Phrases for Audio Event Recognition. Proc. 23rd European Signal Processing Conference (EUSIPCO 2015), Nice, France, pp. 2546-2550, September 2015
    BibTeX PDF
  • Hertel, L., Barth, E., Käster, T., and Martinetz, T.: Deep Convolutional Neural Networks as Generic Feature Extractors. Proc. 2015 IEEE International Joint Conference on Neural Networks (IJCNN), Killarney, Ireland, July 2015
    BibTeX PDF

2012

  • Hertel, L. and Schlaefer, A.: Data Mining for Optimal Sail and Rudder Control of Small Robotic Sailboats. Robotic Sailing 2012, Springer, Cardiff, Wales, pp. 37-48, 2012
    BibTeX