PublicationsList of publications
2019
Ağcaer, S., & Martin, R. (2019). Model-based Optimization of a Low-dimensional Modulation Filter Bank for DRR and T60 Estimation. In 27th EUSIPCO 2019: European Signal Processing Conference : A Coruña, Spain, September 2-6, 2019. IEEE. (https://doi.org/10.23919/EUSIPCO.2019.8902827)
Blauert, J. (2019). Assessing the "Quality-of-the-Acoustics" at Large. Journal of the Audio Engineering Society, 67 (1/2), 5-12. (https://doi.org/10.17743/jaes.2018.0072)
Bönninghoff, B., Nickel, R. M., Zeiler, S., & Kolossa, D. (2019). Similarity Learning for Authorship Verification in Social Media. In 2019 IEEE International Conference on Acoustics, Speech and Signal Processing: Proceedings : May 12-17, 2019, Brighton Conference Centre, Brighton, United Kingdom (pp. 2457–2461). IEEE. (https://doi.org/10.1109/ICASSP.2019.8683405)
Bönninghoff, B., Hessler, S., Kolossa, D., Kucharczik, K., Nickel, R. M., & Pittner, K. (2019). Autorschaftsanalyse. Datenschutz und Datensicherheit - DuD, 43(11), 691–699. (https://doi.org/10.1007/s11623-019-1191-6)
Bönninghoff, B., Hessler, S. Kolossa, D., and Nickel, R. (2019). Explainable Authorship Verification in Social Media via Attention-based Similarity Learning. In 2019 IEEE Int. Conference on Big Data, Los Angeles, CA, USA, December 9-12, 2019 (p. 36-45). IEEE. (https://doi.org/10.1109/BigData47090.2019.9005650)
Braasch, J., & Blauert, J. (2019). Binaural Modeling for Complex Environments. In M. Ochmann, M. Vorländer, & J. Fels (Eds.), Proceedings of the 23rd International Congress on Acoustics : integrating 4th EAA Euroregio 2019 : 9-13 September 2019 in Aachen, Germany (pp. 7665-7672). Deutsche Gesellschaft für Akustik. (https://doi.org/10.18154/RWTH-CONV-239496)
Braasch, J., & Blauert, J. (2019). Binaural models that can assess and understand architectural environments. The Journal of the Acoustical Society of America, 146 (4), 2801-2802. (https://doi.org/10.1121/1.5136703)
Chinaev, A., Thune, P., & Enzner, G. (2019). A Double-cross-correlation Processor for Blind Sampling Rate Offset Estimation in Acoustic Sensor Networks. In 2019 IEEE International Conference on Acoustics, Speech and Signal Processing: Proceedings : May 12-17, 2019, Brighton Conference Centre, Brighton, United Kingdom (pp. 641–645). IEEE. (https://doi.org/10.1109/ICASSP.2019.8683605)
Gauer, J., Krymova, E., Belomestny, D., & Martin, R. (2019). Spectral Complexity Reduction of Music Signals for Cochlear Implant Users based on Subspace Tracking. In 27th EUSIPCO 2019: European Signal Processing Conference : A Coruña, Spain, September 2-6, 2019. IEEE. (https://doi.org/10.23919/EUSIPCO.2019.8902740)
Gauer, J., Krymova, E., Voelter, C., Belomestny, D., and Martin, R. (2019). “An On-Line Algorithm for Spectral Complexity Reduction of Music Signals for Cochlear Implant Listeners,” In: 2019 Conference on Implantable Auditory Prostheses, p. 229 (Abstract).
Gauer, J., Nagathil, A., Martin, R., Thomas, J. P., & Völter, C. (2019). Interactive Evaluation of a Music Preprocessing Scheme for Cochlear Implants Based on Spectral Complexity Reduction. Frontiers in Neuroscience, 13, 1206. (https://doi.org/10.3389/fnins.2019.01206)
Heckmann, M., Orth, D., Dunn, M., Steinhardt, N., Bolder, B., & Kolossa, D. (2019). CORA, a prototype for a cooperative speech-based on-demand intersection assistant. In C. P. Janssen, S. F. Donker, L. L. Chuang, & W. Ju (Eds.), Adjunct proceedings, 11th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications: September 22 - 25, 2019, Utrecht, Netherlands (pp. 483–488). The Association for Computing Machinery. (https://doi.org/10.1145/3349263.3349599)
Karbasi, M., Zeiler, S., Freiwald, J., & Kolossa, D. (2019). Toward Robust Mispronunciation Detection via Audio-Visual Speech Recognition. In I. Rojas, G. Joya, & A. Catala (Eds.), LNCS sublibray: SL1 - Theoretical computer science and general issues: Vol. 11506. Advances in Computational Intelligence: 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part I (Vol. 11507, pp. 655–666). Springer. (https://doi.org/10.1007/978-3-030-20518-8_54)
Kleingarn, D., Nabizadeh, N., Heckmann, M., & Kolossa, D. (2019). Speaker-adapted neural-network-based fusion for multimodal reference resolution. In Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue (pp. 210–214). Association for Computational Linguistics. (https://www.aclweb.org/anthology/W19-5925)
Lentz, B., Nagathil, A., Gauer, J., and Martin, R. (2019). “Music Simplification for Cochlear Implant Users through Harmonic/Percussive Sound Separation and Spectral Complexity Reduction,” In: 22. Jahrestagung Der Deutschen Gesellschaft Für Audiologie. (https://doi.org/10.3205/19DGA142)
Madhu, N., Gergen, S., & Martin, R. (2019). A robust sequential hypothesis testing method for brake squeal localisation. The Journal of the Acoustical Society of America, 146 (6), 4898-4912. (https://doi.org/10.1121/1.5138608)
Markovic, N., Stoetzel, T., Staudt, V., & Kolossa, D. (2019). Hybrid Fault Detection in Power Systems. In 2019 IEEE International Electric Machines & Drives Conference (IEMDC): May 12-15, 2019, Westin San Diego, San Diego, CA (pp. 911–915). IEEE. (https://doi.org/10.1109/IEMDC.2019.8785191)
Nagathil, A., & Martin, R. (2019). Objective Evaluation of Ideal Time-Frequency Masking for Music Complexity Reduction in Cochlear Implants. In The Laboratory PRISM "Perception, Representations, Image, Sound, Music" (Chair), Proceedings of the 14th International Symposium on Computer Music Multidisciplinary Research (CNMR 2019). Symposium conducted at the meeting of The Laboratory PRISM "Perception, Representations, Image, Sound, Music", Marseille, France.
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)
Nogueira, W., Nagathil, A., & Martin, R. (2019). Making Music More Accessible for Cochlear Implant Listeners: Recent Developments. IEEE Signal Processing Magazine, 36(1), 115–127. (https://doi.org/10.1109/MSP.2018.2874059)
Oberländer, K., Thomas, J. P., Gauer, J., & Völter, C. (2019). Are CI recipients able to perceive emotions in music? In Laryngo-Rhino-Otologie: Vol. 98, Abstract- und Posterband – 90. Jahresversammlung der Deutschen Gesellschaft für HNO-Heilkunde, Kopf- und Hals-Chirurgie e.V., Bonn – Digitalisierung in der HNO-Heilkunde. Georg Thieme Verlag KG. (https://doi.org/10.1055/s-0039-1686467)
Schönherr, L., Kohls, K., Zeiler, S., Holz, T., & Kolossa, D. (2019). Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding. In 26th Annual Network and Distributed System Security Symposium, NDSS 2019, San Diego, California, USA, February 24-27, 2019. The Internet Society. (https://doi.org/10.14722/ndss.2019.23288)
Schymura, C., & Kolossa, D. (2019). Learning Dynamic Stream Weights for Linear Dynamical Systems Using Natural Evolution Strategies. In 2019 IEEE International Conference on Acoustics, Speech and Signal Processing: Proceedings : May 12-17, 2019, Brighton Conference Centre, Brighton, United Kingdom (pp. 7893–7897). IEEE. (https://doi.org/10.1109/ICASSP.2019.8682249)
Thüne, P., & Enzner, G. (2019). Tracking Theory of Adaptive Filters with Input-Output Sampling Rate Offset. In 27th EUSIPCO 2019: European Signal Processing Conference : A Coruña, Spain, September 2-6, 2019. IEEE. (https://doi.org/10.23919/EUSIPCO.2019.8903120)
Urbanietz, C., & Enzner, G. (2019). A Physically Motivated Approach for Binaural Simulation of Moving Sound Sources and Receivers. In M. Ochmann, M. Vorländer, & J. Fels (Eds.), Proceedings of the 23rd International Congress on Acoustics : integrating 4th EAA Euroregio 2019 : 9-13 September 2019 in Aachen, Germany (pp. 4833–4840). Deutsche Gesellschaft für Akustik. (https://doi.org/10.18154/RWTH-CONV-238979)
Urbanietz, C., & Enzner, G. (2019). Spatial-fourier Retrieval of Head-related Impulse Responses from Fast Continuous-azimuth Recordings in the Time-domain. In 2019 IEEE International Conference on Acoustics, Speech and Signal Processing: Proceedings : May 12-17, 2019, Brighton Conference Centre, Brighton, United Kingdom (pp. 950–954). IEEE. (https://doi.org/10.1109/ICASSP.2019.8682062)
Urbanietz, C., Enzner, G., Orth, A., Kwiatkowski, P., & Pohl, N. (2019). A Radar-Based Navigation Assistance Device With Binaural Sound Interface for Vision-Impaired People. In P. Vickers, M. Gröhn, & T. Stockman (Eds.), Proceedings of the 25th International Conference on Auditory Display (ICAD 2019). Department of Computer and Information Sciences, Northumbria University.
Vatolkin, I., & Nagathil, A. (2019). Evaluation of Audio Feature Groups for the Prediction of Arousal and Valence in Music. In N. Bauer, K. Ickstadt, K. Lübke, G. Szepannek, H. Trautmann, & M. Vichi (Eds.), Studies in Classification, Data Analysis, and Knowledge Organization. Applications in Statistical Computing (Vol. 28, pp. 305–326). Springer International Publishing. (https://doi.org/10.1007/978-3-030-25147-5_19)
Vogt, H., Enzner, G., & Sezgin, A. (2019). State-Space Adaptive Nonlinear Self-Interference Cancellation for Full-Duplex Communication. IEEE Transactions on Signal Processing, 67(11), 2810–2825. (https://doi.org/10.1109/TSP.2019.2910490)
Yang, F., Enzner, G., & Yang, J. (2019). A Unified Approach to the Statistical Convergence Analysis of Frequency-Domain Adaptive Filters. IEEE Transactions on Signal Processing, 67(7), 1785–1796. (https://doi.org/10.1109/TSP.2019.2896133 )
Yang, F., Enzner, G., & Yang, J. (2019). Transient Analysis of Partitioned-Block Frequency-Domain Adaptive Filters. In 27th EUSIPCO 2019: European Signal Processing Conference : A Coruña, Spain, September 2-6, 2019. IEEE. (https://doi.org/10.23919/EUSIPCO.2019.8902963)
Zohourian, M., & Martin, R. (2019). Direct-to-reverberant Energy Ratio Estimation Based on Interaural Coherence and a Joint ITD/ILD Model. In 2019 IEEE International Conference on Acoustics, Speech and Signal Processing: Proceedings : May 12-17, 2019, Brighton Conference Centre, Brighton, United Kingdom (pp. 611–615). IEEE. (https://doi.org/10.1109/ICASSP.2019.8683336)
Zohourian, M., Stinner, J., & Martin, R. (2019). Speaker Distance Estimation using Binaural Hearing Aids and Deep Neural Networks. In M. Ochmann, M. Vorländer, & J. Fels (Eds.), Proceedings of the 23rd International Congress on Acoustics : integrating 4th EAA Euroregio 2019 : 9-13 September 2019 in Aachen, Germany (pp. 3297–3304). Deutsche Gesellschaft für Akustik. (https://doi.org/10.18154/RWTH-CONV-239773)