Dr.-Ing. Anil Nagathil

Ruhr-Universität Bochum
Institut für Kommunikationsakustik
Fakultät für Elektrotechnik und Informationstechnik
Raum: ID/2/319
Universitätsstr. 150
D-44780 Bochum

Email: Anil.Nagathil@rub.de
Tel.: +49 234 32 29289

 

Anil Nagathil studied electrical engineering and information technology at Ruhr-Universität Bochum. He majored in communication technology and graduated in 2009 obtaining the Dipl-Ing. degree. In 2007 he spent a semester at the University of Birmingham, UK, on an ERASMUS scholarship and interned at Deutsche Telekom AG, Laboratories, Berlin, where he worked towards speech codec classification. In his diploma thesis he investigated and developed features for the classification of audio signals. In 2016 Anil Nagathil obtained the Dr.-Ing. degree from the Institute of Communication Acoustics (IKA) at Ruhr-Universität Bochum with a dissertation entitled "Music Signal Processing for the Reduction of Auditory distortions in Hearing-impaired Listeners". Currently he is a postdoctoral researcher at IKA. His research interests include statistical speech and audio signal processing and signal-based classification of acoustic scenes for applications in hearing instruments.



Publications

Book Chapters:

Martin R., Nagathil A. (2016). "Digital Filters and Spectral Analysis", in Weihs, C., Jannach, D., Vatolkin, I., Rudolph, G. (eds.): "Music Data Analysis: Foundations and Applications", CRC Press, pp. 111-143, 2016

Nagathil, A., Martin, R. (2016). "Signal-Level Features", in Weihs, C., Jannach, D., Vatolkin, I., Rudolph, G. (eds.): "Music Data Analysis: Foundations and Applications", CRC Press, pp. 145-164, 2016

Journals:

Nagathil, A., Weihs, C., Neumann, K., Martin, R. (2017). "Spectral Complexity Reduction of Music Signals Based on Frequency-domain Reduced-rank Approximations: An Evaluation with Cochlear Implant Listeners," J. Acous. Soc. Am. (JASA), 142(3), pp. 1219-1228, September 2017.

Nagathil, A., Weihs, C., Martin, R. (2016). “Spectral Complexity Reduction of Music Signals for Mitigating Effects of Cochlear Hearing Loss,” IEEE/ACM Trans. Audio, Speech, and Language Processing, vol. 24, no. 3, pp. 445-458, March 2016.

Gergen, S., Nagathil, A., Martin, R. (2015). "Classification of reverberant audio signals using clustered ad hoc distributed microphones". Signal Processing, 107, pp. 21-32, February 2015

Conference Proceedings (peer-reviewed):

Nagathil, A., Schlattmann, J.-W., Neumann, K., Martin, R. (2017). "A Feature-based Linear Regression Model for Predicting Perceptual Ratings of Music by Cochlear Implant Listeners," in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), New Orleans, USA, March 2017.

Krymova, E., Nagathil, A., Belomestny, D., Martin, R. (2017). "Segmentation of Music Signals Based on Explained Variance Ratio for Applications in Spectral Complexity Reduction," in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), New Orleans, USA, March 2017.

Gergen, S., Nagathil, A., Martin, R. (2015). "Reduction of reverberation effects in the MFCC modulation spectrum for improved classification of acoustic signals", Interspeech 2015, Dresden, September 2015.

Nagathil, A., Martin, R. (2013). "Evaluation of Spectral Transforms for Music Signal Analysis," in Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, New York, USA, October 2013.

Gergen, S., Nagathil, A., Martin, R. (2013). "Audio Signal Classification in Reverberant Environments Based on Fuzzy-Clustered Ad-hoc Microphone Arrays", International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2013, Vancouver, Canada, May 2013.

Vatolkin I., Nagathil A., Theimer W., Martin R. (2013). “Performance of Specific vs. Generic Feature Sets in Polyphonic Music Instrument Recognition,” in Proc. 7th Int. Conf. on Evolutionary Multi-Criterion Optimization (EMO), Sheffield, UK, March 2013.

Nagathil, A., Martin, R. (2012). "Optimal Signal Reconstruction from a Constant-Q Spectrum", ICASSP, pp. 349-352, Kyoto, Japan, March 2012.

Nagathil, A., Göttel, P., Martin, R. (2011). “Hierarchical Audio Classification Using Cepstral Modulation Ratio Regressions Based on Legendre Polynomials,” in Proc. International Conference on Acoustics, Speech and Signal Processing (ICASSP), Prague, Czech Republic, May 2011

Nagathil, A., Vatolkin, I., Theimer, W. (2010). “Comparison of Partition-Based Audio Features for Music Classification,” in Proc. 9. ITG-Fachtagung Sprachkommunikation, Bochum, Germany, October 2010

Nagathil, A., Gerkmann, T., Martin, R. (2010). “Musical Genre Classification Based on a Highly-resolved Cepstral Modulation Spectrum,” in Proc. European Signal Processing Conference (EUSIPCO), Aalborg, Denmark, August 2010

Martin, R., Nagathil, A. (2009). “Cepstral Modulation Ratio Regression (CMRARE) Parameters for Audio Signal Analysis and Classification,” in Proc. International Conference on Acoustics, Speech and Signal Processing (ICASSP), Taipei, Taiwan, April 2009

Mauler, D., Nagathil, A., Martin, R. (2007). "On Optimal Estimation of Compressed Speech for Hearing Aids," in Proc. Interspeech, Antwerp, Belgium, August 2007

Other Conference Proceedings:

Nagathil, A., Weihs C., Martin R. (2015). “Signal Processing Strategies for Improving Music Perception in the Presence of a Cochlear Hearing Loss,” in Proc. Jahrestagung der Deutschen Gesellschaft für Audiologie (DGA), Bochum, Germany, ISBN 978-3-9813141-5-1.

Nagathil, A., Gerkmann, T., Martin, R. (2010). “Cepstral Modulation Features for Classifying Audio Data,” in Proc. 36. Deutsche Jahrestagung für Akustik (DAGA), Berlin, Germany, March 2010

Abstracts and Talks/Poster:

Nagathil, A., Schlattmann, J.-W., Neumann, K., Martin, R. (2017). “Evaluation of Spectral Music Complexity Reduction Methods for Cochlear Implant Listeners by Means of a Perceptual Music Quality Prediction Model”, Conference on Implantable Auditory Prostheses (CIAP), Lake Tahoe, USA,  July 2017

Nagathil, A., Weihs C., Neumann, K., Martin, R. (2016). “Frequency-domain Reduced-rank Approximations of Music Signals for the Improvement of Music Perception in Cochlear Implant Listeners,” ARCHES Meeting/ICanHear Conference, Zurich, Switzerland, 21.-23. November 2016

Nagathil, A., Martin, R. (2014). “Investigation into Properties of Spectral Transforms with Respect to Music Signal Analysis,” Erlanger Kolloquium, Erlangen, Germany, 28. Februar 2014

Nagathil, A., Martin, R. (2012). “Towards Timbre-controlled Reconstruction of Music Signals in the CQT Domain,“ 11th Workshop on Quality Improvement Methods, Dortmund, Germany, 8. Juni 2012

Nagathil, A., Martin, R. (2011). ”Cepstral Modulation Features for Versatile Audio Classification Tasks,” Joint Annual Conference of the German Association for Pattern Recognition (DAGM) and the German Classification Society (GfKL), Franfurt, Germany, 1. September 2011

Nagathil, A., Martin, R. (2010). ”Statistical Properties of Cepstral Modulation Features for Audio Signal Analysis,” 2nd Joint Statistical Meeting Deutsche Arbeitsgemeinschaft Statistik (DAGStat), Dortmund, Germany, March 2010

 

Foto Nagathil