Institute of Communication acoustics

Nogueira, W., Nagathil, A., Martin, R. (2019). "Making Music More Accessible for Cochlear Implant Listeners: Recent Developments", IEEE Signal Processing Magazine, vol. 36, no. 1, pp. 115-127, January 2019.

Gauer, J., Nagathil, A., Völter, C., Thomas, J. P., Martin, R. (2018). „Spectral complexity reduction of music signals for cochlearimplant users - A validation with an interactive user interface“, Poster presented at the 15th International Conference on Cochlear Implants and other Implantable Auditory Technology, Antwerp, Belgium, June 2018.

Gauer, J., Nagathil, A., Martin, R., Thomas J.-P., Völter, C. (2018). "Validation of a Music Enhancement Method for CI Listeners Using an Interactive User Interface", (Extended Abstract) Proc. International Workshop on Speech Processing for Voice, Speech, and Hearing Disorders, Mysore, India, Sept. 8-9, 2018.

Nagathil, A., Schlattmann, J.-W., Neumann, K., Martin, R. (2018). "Music Complexity Prediction for Cochlear Implant Listeners Based on a Feature-based Linear Regression Model", J. Acous. Soc. Am. (JASA), 144(1), pp. 1-10, July 2018.

Gauer, J., Nagathil, A., Martin, R. (2018). "Binaural spectral complexity reduction of music signals for cochlear implant listeners", in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Canada, April 2018.

Oberländer, K., Gauer, J., Nagathil, A., Martin, R., Thomas, J. P., Völter, C. (2018). „Komplexitätsreduktion zur Verbesserung des Musikgenusses bei CI Trägern“. presented at the 35. Wissenschaftliche Jahrestagung der Deutschen Gesellschaft für Phoniatrie und Pädaudiologie (DGPP), Innsbruck, Austria, September 2018.

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., 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., 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.

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

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., 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.

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.

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.

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

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

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

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Nelus, A., Ebbers, J., Haeb-Umbach, R., & Martin, R. (2019). Privacy-Preserving Variational Information Feature Extraction for Domestic Activity Monitoring versus Speaker Identification. In Interspeech 2019 (pp. 3710–3714). ISCA. (https://doi.org/10.21437/Interspeech.2019-1703)

Nelus, A., & Martin, R. (2019). Privacy-aware Feature Extraction for Gender Discrimination versus Speaker Identification. In 2019 IEEE International Conference on Acoustics, Speech and Signal Processing: Proceedings : May 12-17, 2019, Brighton Conference Centre, Brighton, United Kingdom (pp. 671–674). IEEE. (https://doi.org/10.1109/ICASSP.2019.8682394)

Nelus, A., Rech, S., Koppelmann, T., Biermann, H., & Martin, R. (2019). Privacy-Preserving Siamese Feature Extraction for Gender Recognition versus Speaker Identification. In Interspeech 2019 (pp. 3705–3709). ISCA. (https://doi.org/10.21437/Interspeech.2019-1148)

Nelus, A., Martin, R. (2018). “Gender discrimination versus speaker identification through privacy-aware adversarial feature extraction”, in Speech Communication; 13. ITG Symposium; Proceedings of, VDE, 2018.

Ebbers, J., Nelus, A., Martin, R., Häb-Umbach, R. (2018). “Evaluation of modulation-mfcc features and dnn classification for acoustic event detection”, in Deutsche Jahrestagung fur Akustik (DAGA), 2018.

Nelus, A., Gergen, S., Martin, R. (2017). “Analysis of temporal aggregation and dimensionality reduction on feature sets for speaker identification in wireless acoustic sensor networks”, in Multimedia Signal Processing (MMSP), IEEE 19th International Workshop on, pp. 1–6, IEEE, 2017.

Nelus, A., Gergen, S., Taghia, J., Martin, R. (2016). “Towards opaque audio features for privacy in acoustic sensor networks”, in Speech Communication; 12. ITG Symposium; Proceedings of, pp. 1–5, VDE, 2016.

Nelus, A., Nicolae, M., Popescu, D. (2016). “Simulation framework for wsn used in monitoring of illegal tree cutting”, University Politehnica of Bucharest Scientific Bulletin Series C-Electrical Engineering and Computer Science, vol. 78, no. 3, pp. 27–38, 2016.

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Nickel, R., Martin R. (2011). " Memory and Complexity Reduction for Inventory-Style Speech Enhancement Systems", Proc. EUSIPCO 2011, pp. 196-200.

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Novo, P. (2005). "Auditory Virtual Environments " in: J. Blauert (ed.) Communications Acoustics, Springer, Berlin-Heidelberg-New York NY.

Novo, P. K., N. (2003). "Simulation of Extended Sound Sources in Virtual Auditory Environments." DAGA 2003 Fortschritte der Akustik: Plenarvortr. u. Fachbeitr. d. 29. Dtsch. Jahrestg. f. Akust., D-Aachen, Dtsch. Ges. Akust., D-Oldenburg.

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