PublicationsList of publications
2022
Becker, L., Nelus, A., Glitza, R., & Martin, R. (2022). Accelerated Unsupervised Clustering in Acoustic Sensor Networks Using Federated Learning and a Variational Autoencoder. In 2022 International Workshop on Acoustic Signal Processing (IWAENC) (pp. 1-5). (https://doi.org/10.1109/IWAENC53105.2022.9914753)
Chen, S., Stockel, P., Taghia, J., Kühnau, U., & Martin, R. (2022). Iterative 2D sparse signal reconstruction with masked residual updates for automotive radar interference mitigation. EURASIP Journal on Advances in Signal Processing, 2022,1, Article 33. (https://doi.org/10.1186/s13634-022-00863-6)
Chen, S., Taghia, J., Kühnau, U., Pohl, N., & Martin, R. (2022). A Two-Stage DNN Model With Mask-Gated Convolution for Automotive Radar Interference Detection and Mitigation. IEEE Sensors Journal, 2212, 12017-12027. (https://doi.org/10.1109/JSEN.2022.3173129)
Enzner, G., Urbanietz, C., & Martin, R. (2022). Optimized Learning of Spatial-Fourier Representations from Fast HRIR Recordings. In 30th European Signal Processing Conference (EUSIPCO 2022) Proceedings. Belgrade, Serbia, 29.08.-02.09.2022.pp. 304-308.
Freiwald, J., Pracht, P., Gergen, S., & Kolossa, D. (2022). Open-Source End-To-End Learning for Privacy-Preserving German ASR. In Fortschritte der Akustik: Vol. 48. Daga 2022: 48. Jahrestagung für Akustik : 21. - 24. März 2022, Stuttgart und Online : Tagungsband (pp. 397–400). Deutsche Gesellschaft für Akustik e.V (DEGA).
Gauer, J., Nagathil, A., Eckel, K., Belomestny, D., & Martin, R. (2022). A versatile deep-neural-network-based music preprocessing and remixing scheme for cochlear implant listeners. The Journal of the Acoustical Society of America, 151(5), 2975–2986. (https://doi.org/10.1121/10.0010371)
Gruber, C., Enzner, G., & Martin, R. (2022). A State-Space Recurrent Neural Network Model for Dynamical Loudspeaker System Identification. In 2022 International Workshop on Acoustic Signal Processing (IWAENC) (pp. 1-5). (https://doi.org/10.1109/IWAENC53105.2022.9914719)
Karbasi, M., Zeiler, S., & Kolossa, D. (2022). Microscopic and Blind Prediction of Speech Intelligibility: Theory and Practice. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 30, 2141–2155. (https://doi.org/10.1109/TASLP.2022.3184888)
Koppelmann, T., Becker, L., Nelus, A., Glitza, R., Schönherr, L., & Martin, R. (2022). Clustering-based Wake Word Detection in Privacy-aware Acoustic Sensor Networks. In Interspeech 2022 (pp. 719-723). ISCA. (https://doi.org/10.21437/Interspeech.2022-842)
Lentz, B., Völter, C., Martin, R. (2022). Spectral sparsification of speech signals and its interaction with top-down mechanisms in adult cochlear implant users. Speech Communication, 144, pp. 67-74. (https://doi.org/10.1016/j.specom.2022.08.008)
Lentz, B., Martin, R., Oberlander, K., & Volter, C. (2022). On Spectral and Temporal Sparsification of Speech Signals for the Improvement of Speech Perception in CI Listeners. In ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 346–350). (https://doi.org/10.1109/ICASSP43922.2022.9747474)IEEE.
Nagathil, A. & Bruce, I.C. (2022). A Deep-learning-based Approximation of a Cochlear Filtering Auditory Model for Applications in Speech and Music Processing. Music and Hearing Health Workshop, Oldenburg, Germany, October 2022
Neudek, D., Stodt, B., Getzmann, S., & Martin, R. (2022). Calibration of an Acoustic Virtual Environment for Plausible Distance Perception. In Fortschritte der Akustik : Vol. 48. Daga 2022: 48. Jahrestatung für Akustik, 21. - 24. März 2022, Stuttgart und Online (pp. 1171-1172). DEGA.
Schönherr, L., Golla, M., Eisenhofer, T., Wiele, J., Kolossa, D., & Holz, T. (2022). Exploring accidental triggers of smart speakers. Computer Speech & Language, 73, 101328. (https://doi.org/10.1016/j.csl.2021.101328)
Taghia, J., Neudek, D., Rosenkranz, T., Puder, H. & Martin, R. (2022). First-Order Recursive Smoothing of Short-Time Power Spectra in the Presence of Interference. IEEE Signal Processing Letters, 29, 239–243. (https://doi.org/10.1109/LSP.2021.3132288)
Thaleiser, S., & Enzner, G. (2022). Binaural Wind-Noise Tracking with Steering Preset. In 30th European Signal Processing Conference (EUSIPCO 2022): Proceedings (pp. 70-74). https://doi.org/10.23919/EUSIPCO55093.2022.9909804
Thaleiser, S., Chinaev, A., Martin, R., & Enzner, G. (2022). Dual-Compression Neural Network with Optimized Output Weighting For Improved Single-Channel Speech Enhancement. In 2022 International Workshop on Acoustic Signal Processing (IWAENC) (pp. 1-5). (https://doi.org/10.1109/IWAENC53105.2022.9914737)
Yu, W., Boenninghoff, B., & Kolossa, D. (2022). BERT-based ironic authors profiling. In CEUR Workshop Proceedings, Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to - 8th, 2022 (pp. 2720–2733). (http://ceur-ws.org/Vol-3180/paper-229.pdf)
Yu, W., Boenninghoff, B., Röhrig, J., & Kolossa, D. (2022). RubCSG at SemEval-2022 Task 5: Ensemble learning for identifying misogynous MEMEs. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (pp. 626–635). Association for Computational Linguistics. (https://doi.org/10.18653/v1/2022.semeval-1.86)
Yu, W., Zeiler, S., & Kolossa, D. (2022). Reliability-Based Large-Vocabulary Audio-Visual Speech Recognition. Sensors, 22(15) (https://doi.org/10.3390/s22155501)