International Audio Laboratories Erlangen (AudioLabs)

Address:
Am Wolfsmantel 33
91058 Erlangen



Subordinate Organisational Units

Juniorprofessur für Virtual Reality
Lehrstuhl für Audiocodierung (AudioLabs) (Stiftungslehrstuhl)
Lehrstuhl für Audiosignalanalyse (AudioLabs) (Stiftungslehrstuhl)
Lehrstuhl für Semantische Audiosignalverarbeitung (AudioLabs)
Professur für Sprachcodierung (AudioLabs) (Stiftungsprofessur)
Professur für wahrnehmungsbasierte räumliche Audiosignalverarbeitung (AudioLabs) (Stiftungsprofessur)


Publications (Download BibTeX)

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Mirabilii, D., & Habets, E. (2019). Multi-channel wind noise reduction using the Corcos model. In Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP). UK.
Stöter, F.-R., Chakrabarty, S., Edler, B., & Habets, E. (2019). CountNet: Estimating the number of concurrent speakers using supervised learning. IEEE/ACM Transactions on Audio, Speech and Language Processing, 27(2), 268--282. https://dx.doi.org/10.1109/TASLP.2018.2877892
Chakrabarty, S., & Habets, E. (2019). Multi-speaker DOA estimation using deep convolutional networks trained with noise signals. IEEE Journal of Selected Topics in Signal Processing. https://dx.doi.org/10.1109/JSTSP.2019.2901664
Haji Ghassemi, N., Hannink, J., Martindale, C., Gaßner, H., Müller, M., Klucken, J., & Eskofier, B. (2018). Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson’s Disease. Sensors.
El Baba, Y., Walther, A., & Habets, E. (2018). 3D room geometry inference based on room impulse response stacks. IEEE/ACM Transactions on Audio, Speech and Language Processing, 26(5), 857-872. https://dx.doi.org/10.1109/TASLP.2017.2784298
Mirabilii, D., & Habets, E. (2018). Simulating multi-channel wind noise based on the Corcos model. In Proc. of the International Workshop on Acoustic Signal Enhancement (IWAENC) (pp. 560-564). Institute of Electrical and Electronics Engineers Inc..
Mack, W., Chakrabarty, S., Stöter, F.-R., Braun, S., Edler, B., & Habets, E. (2018). Single-channel dereverberation using direct MMSE optimization and bidirectional LSTM networks. In Proc. Interspeech Conf. (pp. 1314--1318).
Mirabilii, D., & Habets, E. (2018). On the difference-to-sum power ratio of speech and wind noise based on the corcos model. In Proc. of the International Conference on the Science of Electrical Engineering. Israel.
Stöter, F.-R., Chakrabarty, S., Edler, B., & Habets, E. (2018). Classification vs. regression in supervised learning for single channel speaker count estimation. In Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP) (pp. 436--440). Calgary, Canada.
Taseska, M., & Habets, E. (2018). Blind source separation of moving sources using sparsity-based source detection and tracking. IEEE/ACM Transactions on Audio, Speech and Language Processing, 26(3), 657--670. https://dx.doi.org/10.1109/TASLP.2017.2780993
Rummukainen, O., Wang, J., Li, Z., Robotham, T., Yan, Z., Li, Z.,... Habets, E. (2018). Influence of visual content on the perceived audio quality in virtual reality. In Proc. Audio Eng. Soc. Convention. New York, USA: Audio Engineering Society.
Rummukainen, O., Schlecht, S., Plinge, A., & Habets, E. (2017). Evaluating binaural reproduction systems from behavioral patterns in a virtual reality – A case study with impaired binaural cues and tracking latency. In Proc. Audio Eng. Soc. Convention (pp. 738-745). New York, USA: Audio Engineering Society.
Jarrett, D.P., Habets, E., & Naylor, P.A. (2017). Theory and applications of spherical microphone array processing. Springer.
El Baba, Y., Walther, A., & Habets, E. (2017). Time of arrival disambiguation using the linear Radon transform. In Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP) (pp. 106-110). New Orleans, USA: Institute of Electrical and Electronics Engineers Inc..
Rummukainen, O., Schlecht, S., Plinge, A., & Habets, E. (2017). Evaluation of binaural reproduction systems from behavioral patterns in a six-degrees-of-freedom wayfinding task. In Proc. of the International Conference on Quality of Multimedia Experience (QoMEX) (pp. 1--3). Erfurt, Germany: Institute of Electrical and Electronics Engineers Inc..
Thiergart, O., Huang, W., & Habets, E. (2016). A low complexity weighted least squares narrowband DOA estimator for arbitrary array geometries. In Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP) (pp. 340-344). Institute of Electrical and Electronics Engineers Inc..
El Baba, Y., Walther, A., & Habets, E. (2016). Reflector localization based on multiple reflection points. In Proc. European Signal Processing Conf. (EUSIPCO) (pp. 1458-1462). Budapest, Hungary: European Signal Processing Conference, EUSIPCO.
Momeni Hojjatabadi, H., Abutalebi, H.R., & Habets, E. (2016). Conditional MMSE-based single-channel speech enhancement using inter-frame and inter-band correlations. In Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP) (pp. 5215-5219). Institute of Electrical and Electronics Engineers Inc..
Taseska, M., Varzandeh, R., & Habets, E. (2016). Recursive implementations of informed spatial filters. In Proc. of the International Workshop on Acoustic Signal Enhancement (IWAENC) (pp. 1--5). Institute of Electrical and Electronics Engineers Inc..
Götz, P., Kowalczyk, K., Silzle, A., & Habets, E. (2015). Mixing time prediction using spherical microphone arrays. Journal of the Acoustical Society of America, 137(2), EL206-EL212. https://dx.doi.org/10.1121/1.4907547


Publications in addition (Download BibTeX)


Torcoli, M., Freke-Morin, A., Paulus, J., Simon, C., & Shirley, B. (2019). Background ducking to produce esthetically pleasing audio for TV with clear speech. In AES 146th International Convention. Dublin, IE: Audio Engineering Society.

Last updated on 2019-24-04 at 10:28