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Statistical modeling - publications

Book

D. Weinshall, J. Anemüller, L. van Gool (Eds.), "Detection and Identification of Rare Audio-visual Cues", Springer Studies in Computational Intelligence Series, Vol. 384, 2012.

Journal articles

J.-H., B. Kollmeier, J. Anemüller. Matching pursuit analysis of auditory receptive fields’ spectro-temporal properties. Front. Syst. Neurosci., doi:10.3389/fnsys.2017.00004, in press, 2017.

N. Moritz, K. Adiloğlu, J. Anemüller, S. Goetze, B. Kollmeier. Multi-Channel Speech Enhancement and Amplitude Modulation Analysis for Noise Robust Automatic Speech Recognition. Computer Speech and Language, in press, 2017.

N. Moritz, B. Kollmeier, J. Anemüller. Integration of Optimized Modulation Filter Sets into Deep Neural Networks for Automatic Speech Recognition. IEEE/ACM Transactions on Audio, Speech, and Language Processing 24:2439-2452, 2016.

H. Kayser, V. Hohmann, S. Ewert, B. Kollmeier, J. Anemüller. Robust auditory localization using probabilistic inference and coherence-based weighting of interaural cues. The Journal of the Acoustical Society of America 138:2635-2648, 2015.

F. Xiong, B. T. Meyer, N. Moritz, R. Rehr, J. Anemüller, T. Gerkmann, S. Doclo, S. Goetze. Front-End Technologies for Robust ASR in Reverberant Environments—Spectral Enhancement-based Dereverberation and Auditory Modulation Filterbank Features. EURASIP Journal on Advances in Signal Processing, 2015:70, 2015.

J. Schröder, S. Goetze, J. Anemüller. Spectro-temporal Gabor filterbank features for acoustic event detection. IEEE/ACM Transactions on Audio, Speech, and Language Processing 23:2198-2208, 2015.

N. Moritz, J. Anemüller, B. Kollmeier. An Auditory Inspired Amplitude Modulation Filter Bank for Robust Feature Extraction in Automatic Speech Recognition. IEEE/ACM Transactions on Audio, Speech, and Language Processing 23:1926-1937, 2015.

A. F. Meyer, J.-P. Diepenbrock, F. W. Ohl, J. Anemüller. Fast and robust estimation of spectro-temporal receptive fields using stochastic approximations. Journal of Neuroscience Methods 256:119-133, 2015.

A. F. Meyer, J.-P. Diepenbrock, M. F. K. Happel, F. W. Ohl, and J. Anemüller: "Discriminative Learning of Receptive Fields from Responses to non-Gaussian Stimulus Ensembles," PLoS ONE 9(4): e93062 2014.

J.-H. Bach, J. Anemüller, and B. Kollmeier, "Robust speech detection in real acoustic backgrounds with perceptually motivated features," Speech Communication, vol. 53, no. 5, pp. 690-706, 2011.

S. Goetze, N. Moritz, J.-E. Appell, M. Meis, C. Bartsch, and J. Bitzer, "Acoustic User Interfaces for Ambient Assisted Living Technologies," Informatics for Health and Social Care, SI Ageing & Technology, vol. 35, no. 4, pp. 161-179, 2010

H. Kayser, S. D. Ewert, J. Anemüller, T. Rohdenburg, V. Hohmann, and B. Kollmeier. "Database of Multichannel In-Ear and Behind-the-Ear Head-Related and Binaural Room Impulse Responses," Eurasip Journal on Advances in Signal Processing, Vol. 2009, pp. 1-10, 2009.

J. Anemüller, J.-R. Duann, T. J. Sejnowski and S. Makeig. Spatio-temporal dynamics in fMRI recordings revealed with complex independent component analysis. Neurocomputing, 69:1502-1512, 2006.

J. Anemüller, T. J. Sejnowski, and S. Makeig. Complex independent component analysis of frequency-domain electroencephalographic data. Neural Networks, 16:1311-1323, 2003.

J. Anemüller and B. Kollmeier. Adaptive separation of acoustic sources for anechoic conditions: A constrained frequency domain approach. Speech Communication, 39(1-2):79-95, Jan 2003.

G. Jongen, J. Anemüller, D. Bollé, A. C. C. Coolen, and C. Pérez-Vicente. Coupled dynamics of fast spins and slow exchange interactions in the xy spin glass. Journal of Physics A: Mathematical and General, 34(19):3957-3984, 2001.

Peer-reviewed conference papers

J. Anemüller, H. Kayser. Multi-channel signal enhancement with speech and noise covariance estimates computed by a probabilist localization model. In: Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, in press, 2017.

J. Anemüller, H. Kayser. Acoustic Source Localization by Combination of Supervised Direction-Of-Arrival Estimation with Disjoint Component Analysis. In: Proc. 13th International Conference on Latent Variable Analysis and Signal Separation, Grenoble, France, in press, 2017.

H. Kayser, J. Anemüller. Probabilistic Spatial Filter Estimation for Multi-Channel Signal Enhancement in Hearing Aids. Proc. 12. ITG Symposium Speech Communication, Paderborn, Germany, 2016.

H. Kayser, N. Moritz, J. Anemüller. Probabilistic spatial filter estimation for signal enhancement in multi-channel automatic speech recognition. In: Interspeech 2016, San Francisco, CA, 2016.

E. Fathiazar, J. Anemüller, J. Kretzberg.  Statistical Identification of Stimulus-Activated Network Nodes in Multi-Neuron Voltage-Sensitive Dye Optical Recordings. In: Proc. 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, Florida, 2016.

J. Schröder, J. Anemüller, S. Goetze. Classification of Human Cough Signals using Spectro-Temporal Gabor Filterbank Features. In: Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 6455-6459, Shanghai, China, 2016

N. Moritz, S. Gerlach, K. Adiloglu, J. Anemüller, B. Kollmeier, S. Goetze. A CHIME-3 challenge system: Long-term acoustic features for noise robust automatic speech recognition. In: IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2015), Scottsdale, AZ, 2015.

Hendrik Kayser, Jörn Anemüller: A discriminative learning approach to probabilistic acoustic source localization. In: Proc. International Workshop on Acoustic Echo and Noise Control IWAENC 2014, Antibes, France, 2014

Hendrik Kayser, Kamil Adiloglu, Jörn Anemüller: Estimation of Inter-Channel Phase Differences using Non-Negative Matrix Factorization. In: Proc. 8th IEEE Sensor Array and Multichannel Signal Processing Workshop SAM 2014, A Coruna, Spain, 2014

Arne F. Meyer, Jan-Philipp Diepenbrock, Frank W. Ohl, Jörn Anemüller: Quantifying neural coding noise in linear threshold models. In: Proc. 6th International IEEE/EMBS Conference on Neural Engineering, NER, San Diego, 2013

Niko Moritz, Marc René Schädler, Kamil Adiloglu, Bernd T. Meyer, Tim
Jürgens, Timo Gerkmann, Birger Kollmeier, Simon Doclo, and Stefan Goetze, "Noise Robust Distant Automatic Speech Recognition Utilizing NMF Based Source Separation and Auditory Feature Extraction," In: 2nd CHiME challenge workshop 2013, Vancouver, CAN, 2013.

Birger Kollmeier, Marc. R. Schädler, Arne F. Meyer, Jörn Anemüller, Bernd T. Meyer: Do we need STRFs for Cocktail Parties? - On the relevance of physiologically motivated features for human speech perception derived from automatic speech recognition (ASR). In Proc. International Symposium of Hearing (ISH), Cambridge, UK, 2013

J. Schröder, N. Moritz, M. Schädler, B. Cauchi, K. Adiloglu, J. Anemüller, S. Doclo, B. Kollmeier, S. Goetze, "On the Use of Spectro-Temporal Features for the IEEE AASP Challenge 'Detection and Classification of Acoustic Scenes and Events," IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2013

J. Schröder, S. Goetze, V. Grützmacher, J. Anemüller, “Automatics Acoustic Siren Detection in Traffic Noise by Part-Based Models,” in: Proc. ICASSP, 2013, pp. 493-497

J.-H. Bach, A.-F. Meyer, D. McElfresh, J. Anemüller, "Automatic classification of audio data using nonlinear neural response models," in: Proc. ICASSP, 2012 , pp. 357-360

N. Moritz, J. Anemüller, and B. Kollmeier, "Amplitude modulation flters
as feature sets for robust asr: Constant absolute or relative bandwidth," In: Interspeech 2012, Portland, USA, September 2012.

R. Kliper, H. Kayser, D. Weinshall, I. Nelken, and J. Anemüller, "Monaural Azimuth Localization Using Spectral Dynamics of Speech," in: Proc. Interspeech, Florence, Italy, August 2011, pp. 33-36.

B. Meyer, S. Ravuri, M.R. Schädler, and N. Morgan, "Comparing different flavors of spectro-temporal features for ASR," in: Proc. Interspeech, Florence, Italy, August 2011, pp. 1269-1272.

A. F. Meyer, J.-P. Diepenbrock, F.W. Ohl, and J. Anemueller, "Evaluation and comparison of different machine learning approaches to auditory spectro-temporal receptive field estimation," BMC Neuroscience 2011, 2011, 12(Suppl 1):P4

N. Moritz, J. Anemüller, and B. Kollmeier, "Amlitude Modulation Spectrogram Based Features for Robust Speech Recognition in Noisy and Reverberant Environments," in: Proc. ICASSP, Prague, Czech May 2011

J.-H. Bach, J. Anemüller, "Detecting novel objects in acoustic scenes through classifier incongruence," in: Proc. Interspeech, Makuhari, Japan, September 2010, pp. 2206-2209.

J.-H. Bach, H. Kayser, J. Anemüller, "Audio Classification and Localization for Incongruent Event Detection," in: ECML workshop on detection and identification of rare audio-visual cues 2010.

M. Havlena, J. Heller, H. Kayser, J.-H. Bach, J. Anemüller, T. Pajdla, "Incongruence Detection in Audio-Visual Processing," in: ECML workshop on detection and identification of rare audio-visual cues 2010.

J.-H. Bach, B. Kollmeier, and J. Anemüller, "Modulation-based detection of speech in real background noise: Generalization to novel background classes," in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2010, pp. 41-44.

S. Goetze, N. Moritz, J.-E. Appell, M. Meis, C. Bartsch, and J. Bitzer, "Acoustic User Interfaces for Ambient Assisted Living Technologies," Informatics for Health and Social Care, SI Ageing & Technology, 35(4),
pp. 161-179, 2010.

J. Anemüller, "Blinde Verarbeitung von Sprachsignalen basierend auf dem Kriterium maximaler Disjunktheit," in: Proc. ITG-Fachtagung Sprachkommunikation, Aachen, Germany, October 2008. (invited paper)

J. Anemüller, J.-H. Bach, B. Caputo, M. Havlena, L. Jie, H. Kayser, B. Leibe, P. Motlicek, T. Pajdla, M. Pavel, A. Torii, L. Van Gool, A. Zweig, H. Hermansky, "The DIRAC AWEAR Audio-Visual Platform for Detection of Unexpected and Incongruent Events," Proc. International Conference on Multimodal Interaction (ICMI) 2008, pp. 289-293.

J. Anemüller, D. Schmidt, J.-H. Bach, "Detection of Speech Embedded in Real Acoustic Background Based on Amplitude Modulation Spectrogram Features," in: Proc. Interspeech, pp. 2582-2585, Brisbane, Australia, September 2008.

J. Luo, B. Caputo, A. Zweig, J.-H. Bach, J. Anemüller, "Object Category Detection Using Audio-Visual Cues," in: A. Gasteratos, M. Vincze, and J.K. Tsotsos (Eds.): ICVS 2008, Lecture Notes in Computer Science, 5008, pp. 539-548, 2008.

J. Anemüller, J.-H. Bach, B. Caputo, L. Jie, F. Ohl, F. Orabona, R. Vogels, D. Weinshall, A. Zweig, "Biologically Motivated Audio-Visual Cue Integration for Object Categorization," In: Proceedings of the International Conference on Cognitive Systems (CogSys 2008), University of Karlsruhe, Karlsruhe, Germany, April 2 - 4, 2008.

J. Anemüller, "Maximization of Component Disjointness: a Criterion for Blind Source Separation," 7th International Conference on Independent Component Analysis and Signal Separation, pages 325-332, London, UK, 9 - 12 September 2007.

J. Anemüller. Second-order Separation of Multidimensional Sources with Constrained Mixing System. Proceedings of the sixth International Conference on Independent Component Analysis and Blind Signal Separation, pages 16-23, Charleston, SC, March 5-8 2006.

T. Wesker, B. Meyer, K. Wagener, J. Anemüller, A. Mertins and B. Kollmeier. Oldenburg logatome speech corpus (OLLO) for speech recognition experiments with humans and machines. Proceedings Interspeech 2005, pages 1273-1276. Lisbon, Portugal, September 2005.

J. Anemüller, J.-R. Duann, T. J. Sejnowski, and S. Makeig. Unraveling spatio-temporal dynamics in fMRI recordings using complex ICA. 5th International Conference on Independent Component Analysis and Blind Signal Separation, pages 1103-1110 , Granada, Spain, September 2004.

J. Anemüller, T. J. Sejnowski, and S. Makeig. Reliable Measurement of Cortical Flow Patterns using Complex Independent Component Analysis of Electroencephalographic Signals. 5th International Conference on Independent Component Analysis and Blind Signal Separation, pages 1009-1016, Granada, Spain, September 2004.

J. Anemüller, T. J. Sejnowski, and S. Makeig. Complex spectral-domain independent component analysis of electroencephalographic data. In Proceedings of the fourth international workshop on independent component analysis and blind signal separation, pages 47-52, Nara, Japan, 2003.

Jörn Anemüller and Birger Kollmeier. Amplitude modulation decorrelation for convolutive blind source separation. In Petteri Pajunen and Juha Karhunen, editors, Proceedings of the second international workshop on independent component analysis and blind signal separation, pages 215-220, Helsinki, Finland, 2000.

Jörn Anemüller and Tino Gramß. A neural network for sound source separation. In Torsten Dau, Volker Hohmann, and Birger Kollmeier, editors, Psychophysics, Physiology and Models of Hearing, pages 255-258, 1999.

Jörn Anemüller and Tino Gramß. On-line blind separation of moving sound sources. In J. F. Cardoso, Ch. Jutten, and Ph. Loubaton, editors, Proceedings of the first international workshop on independent component analysis and blind signal separation, pages 331-334, Aussois, France, 1999.

Abstracts and other conference publications

Hendrik Kayser, Volker Hohmann, Stephan D. Ewert, Jörn Anemüller: Binaurale Lokalisation von Sprache anhand der Statistik interauraler Unterschiede. DAGA 2014, Oldenburg, 2014

Hendrik Kayser, Stephan D. Ewert, Volker Hohmann, Jörn Anemüller: Probabilistic modeling of auditory cues for binaural speaker localization. AIA-DAGA 2013, Merano, Italy, 2013

Arne F Meyer, Jan-Philipp Diepenbrock, Frank W Ohl and Jörn Anemüller: Fast and reliable estimation of non-Gaussian stimulus receptive fields using large-margin classification. Annual Meeting of the Society for Neuroscience, San Diego, 2013.

Arne F Meyer, Jan-Philipp Diepenbrock, Frank W Ohl and Jörn Anemüller: Towards on-line estimation of non-Gaussian stimulus receptive fields using large-margin classification. Bernstein Conference, Tuebingen, 2013.

Arne F Meyer, Jan-Philipp Diepenbrock, Frank W Ohl and Jörn Anemüller: Receptive field inference from binary spike decisions for responses to non-Gaussian stimulus ensembles. 10th Göttingen Meeting of the German Neuroscience Society, Göttingen, 2013.

Arne F Meyer and Jörn Anemüller: Robust and efficient receptive field inference from binary spike decisions with stochastic gradient descent. 12th Granada Seminar on Physics, Computations, and the Mind. La Herradura. 2012.

Arne F Meyer, Jan P Diepenbrock, Frank W Ohl and Jörn Anemüller: Evaluation and comparison of different machine learning approaches to auditory spectro-temporal receptive field estimation. BMC Neuroscience, 12(Suppl 1), 2011

A. F. Meyer, J.-P. Diepenbrock, M.F.K. Happel, F.W. Ohl, and J. Anemueller, "A machine learning approach to estimation of auditory spectro-temporal receptive fields," in Proc. 9th Göttingen Meeting of the German Neuroscience Society, Göttingen, 2011.

N. Moritz, J. Anemüller, and B. Kollmeier, "Modulation Feature Extraction for Robust Automatic Speech Recognition," Fortschritte der Akustik - DAGA 2011, 2011.

S. Kortlang, J. Schröder, D. Hollosi, J. Anemüller, and B. Kollmeier, "A Hierarchical Approach to Content-Based Classification of Environmental Sounds Using a Predefined Taxonomy," Fortschritte der Akustik - DAGA 2011, 2011.

J. Schröder, J Rennies, F. Xiong, J. Anemüller, and S. Goetze, "Real-time Room Reverberation Estimation for Online Speech Intelligibility Monitoring," Fortschritte der Akustik - DAGA 2011, 2011.

M. R. Schädler, B.T. Meyer, and B. Kollmeier, "Robuste Spracherkennung mit spektro-temporalen Filterbankmerkmalen," Fortschritte der Akustik - DAGA 2011, pp. 221-222, 2011.

N. Moritz, S. Goetze and J.-E. Appell, "Ambiente Sprachsteuerung für einen Persönlichen Aktivitäts- und Haushaltsassistenten," VDE, 4. Deutscher AAL-Kongress, Berlin, 2011

N. Moritz, S. Goetze und J.-E. Appell, "Ambient Voice Control for a Personal Activity and Household Assistant", In R. Wichert and B. Eberhardt (Eds.), Ambient Assisted Living - Advanced Technologies and Societal Change, Springer Lecture Notes in Computer Science (LNCS), Berlin, pp. 63-74, Januar 2011.

J. Schröder, S. Wabnik, P.W.J. van Hengel, and S. Goetze, "Detektion und Klassifikation von akustischen Ereignissen zur häuslichen Pflege," VDE, 4. Deutscher AAL-Kongress, Berlin, 2011

J. Schröder, S. Wabnik, P.W.J. van Hengel, and S. Goetze, "Detection and Classification of Acoustic Events for In-Home Care", In R. Wichert and B. Eberhardt (Eds.), Ambient Assisted Living - Advanced Technologies and Societal Change, Springer Lecture Notes in Computer Science (LNCS), Berlin, pp. 181-195, Januar 2011.

R. Kliper, and H. Kayser, "Efficient Speech Localization Based on Monaural Cues," in Proc. Computational and Systems Neuroscience COSYNE, Salt Lake City, 2011

J. Anemüler, J. -H. Bach, L. van Gool, H. Kayser, W. Moreau, and S. Wabnik, "Audio-visuelle Identifikation ungewöhnlicher Ereignisse - das DIRAC Projekt Audio-visual Identification of Unexpected Events - The DIRAC Project," Fortschritte der Akustik - DAGA 2010, 2010.

N. Moritz, B.T. Meyer, J. Anemüller, and B. Kollmeier, "Robustheit automatischer Spracherkennung mit Amplitudenmodulationsspektogrammen," Fortschritte der Akustik - DAGA 2010, 2010.

D. Hollosi, J. Schröder, S. Goetze and J.-E. Appell, "Voice Activity Detection Driven Acoustic Event Classification for Monitoring in Smart Homes," 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2010

A. F. Meyer, M. Happel, F. Ohl, and J. Anemüller. "Estimation of spectro-temporal receptive fields based on linear support vector machine classification," BMC Neuroscience, vol. 10, iss. 10(Suppl 1), p. 147, 2009.

J.-H. Bach and J. Anemüller, "Acoustic Object Detection in Adverse Conditions," in Proc. NAG-DAGA 2009 International Conference on Acoustics, Rotterdam, 2009, p. 315.

P. van Hengel and J. Anemüller, "Audio Event Detection for In Home Care.," in Proc. NAG-DAGA 2009 International Conference on Acoustics, Rotterdam, 2009, p. 209.

H. Kayser, B. Kollmeier, and J. Anemüller, "Blind and Non-Blind Spatial Signal Processing Using Head-Related Impulse Responses," in Proc. NAG-DAGA International Conference on Acoustics, Rotterdam, 2009.

J. Schöder, T. Rohdenburg, V. Hohmann, and S. D. Ewert, "Classification of Reverberant Acoustic Situations," in Proc. NAG-DAGA International Conference on Acoustics, Rotterdam, 2009.

T. Schaer, S. D. Ewert, J. Anemüller, and B. Kollmeier, "Measurement, modelling and compensation of nonlinearities in hearing aid receivers," in Proc. NAG-DAGA International Conference on Acoustics 2009, Rotterdam, 2009.

A. F. Meyer, M. F. K. Happel, F. W. Ohl, and J. Anemüller, "Estimation of spectro-temporal receptive fields based on linear support vector machine classification," in Proc. 3rd International Conference on Auditory Cortex, Magdeburg, 2009.

M. F. K. Happel, S. Müller, J. Anemüller, and F. W. Ohl, "Predictability of STRFs in auditory cortex neurons depends on stimulus class," in: Proc. Interspeech, Brisbane, Australia, September 2008.

J. -H. Bach and J. Anemüller, "Hierarchical multi-class classification of sound data," in Proc. Fortschritte der Akustik - DAGA 2008, 2008, pp. 835-836.

D. Schmidt and J. Anemüller. Acoustic Feature Selection for Speech Detection Based on Amplitude Modulation Spectrograms (AMS). Fortschritte der Akustik: DAGA 2007, Deutsche Gesellschaft für Akustik (DEGA), 2007.

I. Holube, J. Bitzer, J. Anemüller, B. Kollmeier and M. Vlaming. Speech-like test signals for hearing instruments. International Hearing Aid Research Conference, Lake Tahoe, CA, August 2006.

J. Anemüller. Correlated modulation: A criterion for blind source separation. In Joint meeting of the Acoustical Society of America and the European Acoustics Association, Berlin, Germany, 1999. 4 pages on CD-ROM proceedings.

G. Jongen, J. Anemüller, D. Bollé, and A. C. C. Coolen. Networks of fast oscillators with slow dynamic couplings. In A. Gervois, M. Gingold, and D. Iagolnitzer, editors, StatPhys 20, page 12, Paris, July 20-24 1998. Springer.

Theses

S. Kortlang. Ein hierarchisches Modell zur inhaltsbezogenen Audio-Klassifikation. Master's thesis, Dept. of Physics, University of Oldenburg, Oldenburg, Germany, 2011.

M. R. Schädler. Spectro-temporal filters for the analysis and recognition of speech. Diploma thesis, Dept. of Physics, University of Oldenburg, Oldenburg, Germany, 2010.

N. Moritz. Robuste automatische Spracherkennung mit gehörbasierten Modulationsmerkmalen. Master's thesis, Dept. of Physics, University of Oldenburg, Oldenburg, Germany, 2010.

S. Schröder. Klassifikation von Nachhall auf der Basis von einkanaligen Signalen. Diploma thesis, Dept. of Physics, University of Oldenburg, Oldenburg, Germany, 2009.

H. Kayser. Blind source separation for head-related transfer functions in real environments. Diploma thesis, Dept. of Physics, University of Oldenburg, Oldenburg, Germany, 2008.

D. Visser. Phonemerkennung mit Support Vector Machines. Master's thesis, Dept. of Physics, University of Oldenburg, Oldenburg, Germany, 2008.

J. Anemüller. Across-Frequency Processing in Convolutive Blind Source Separation. Ph.D. thesis, Dept. of Physics, University of Oldenburg, Oldenburg, Germany, 2001.

J. Anemüller. Coupled synaptic and neuronal dynamics for oscillator networks. Master's thesis, Department of Mathematics, King's College London, London, UK, 1996.

Patent

S. Makeig, J. Anemüller. Monitoring and representing complex signals. U. S. Patent No. 7,254,500, filed 31.3.2004, issued 7.8.2007.

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