Prof. Dr. Tim Jürgens
Fachbereich Angewandte Naturwissenschaften
Institut für Akustik
Mönkhofer Weg 239
Tel.: +49 451 300-5261
 N.R. Clark, W. Lecluyse, T. Jürgens “Analysis of compressive properties of the BioAid hearing aid algorithm,” Int. J. Audiol, 2017, early online, 1-9.
 L. Zamaninezhad, V.Hohmann, A. Büchner, M.R. Schädler, T. Jürgens, „A physiologically-inspired model reproducing the speech intelligibility benefit in cochlear implant listeners with residual acoustic hearing,“ Hear. Res., 344, 2017, pp. 50-61.
 F. Langner and T. Jürgens, “Forward-Masked Frequency Selectivity Improvements in Simulated and Actual Cochlear Implant Users Using a Preprocessing Algorithm”, Trends in Hearing, 20, 2016, pp. 1-14.
 T. Jürgens, N.R. Clark, W. Lecluyse, R. Meddis, „Exploration of a physiologically-inspired hearing aid algorithm using a computer model mimicking impaired hearing“, Int. J. Audiol., 55, 2016, pp. 346-357
 A. Eichenauer, M. Dietz, B. T. Meyer, and T. Jürgens “Introducing temporal rate coding for speech in cochlear implants: A microscopic evaluation in humans and models,” Proceedings of the 17th Interspeech conference, San Francisco, CA, 2016, pp. 635-639.
 B. Williges, M. Dietz, V. Hohmann, and T. Jürgens, „Spatial unmasking of speech in simulated cochlear implant users with and without access to low-frequency acoustic hearing,“ Trends in Hearing, 19, 2015,pp. 1-14.
 S. Hochmuth, T. Jürgens, T. Brand, and B. Kollmeier, “Talker- and language-specific effects on speech intelligibility in noise assessed with bilingual talkers: Which language is more robust against noise and reverberation?,“ Int. J. Audio., 54, 2015, pp. 23-34.
 S. Hochmuth, B. Kollmeier, T. Brand, and T. Jürgens, “Influence of noise type on speech reception thresholds across four languages measured with matrix sentence tests,“ Int. J. Audiol., 54, 2015, 62-70.
 M.R. Panda, W. Lecluyse, C.M. Tan, T. Jürgens, and R. Meddis, “Hearing dummies: Individualized computer models of hearing impairment,“ Int. J. Audiol. 53, 2014, pp. 699–709.
 T. Jürgens, B. Kollmeier, S.D. Ewert, and T. Brand, “Prediction of consonant recognition in quiet for listeners with normal and impaired hearing using an auditory model,“ J. Acoust. Soc. Am. 135, 2014, pp. 1535-1541.
 R. Meddis, N. R. Clark, W. Lecluyse, and T. Jürgens, “BioAid - Ein biologisch inspiriertes Hörgerät,“ Zeitschrift für Audiologie - Audiol. Acoust., 52(4), 2013, pp. 148-152.
 T. Jürgens, T. Brand, R. Meddis, N. R. Clark, and G. J. Brown, “The robustness of speech representations obtained from simulated auditory nerve fibers under different noise conditions,“
 N. Moritz, M.R. Schädler, K. Adiloglu, B.T. Meyer, T. Jürgens, T. Gerkmann, B. Kollmeier, S. Doclo, S. Goetze, “Noise robust distant automatic speech recognition utilizing NMF based source separation and auditory feature extraction,“ The 2nd CHiME workshop on machine listening in multitalker environments, Vancouver, Canada, 2013.
 N. R. Clark, G. J. Brown, T. Jürgens, and R. Meddis, “A frequency-selective feedback model of auditory efferent suppression and its implications for the recognition of speech in noise,“ J. Acoust. Soc. Am. 132, 2012, pp. 1535-1541.
 T. Jürgens, B. Kollmeier, T. Brand, and Stephan D. Ewert, “Assessment Of Auditory Nonlinearity For Listeners With Different Hearing Losses Using Temporal Masking And Categorical Loudness Scaling,“ Hear. Res. 280, 2011, pp. 177-191.
 G.J. Brown, T. Jürgens, R. Meddis, M. Robertson, and N.R. Clark, “The representation of speech in a nonlinear auditory model: time-domain analysis of simulated auditory-nerve firing patterns,“ Proceedings of the 12th Annual Conference of the International Speech Communication Association - Interspeech, Florence, Italy, 2011, pp. 2453–2456.
 T. Jürgens, S. Fredelake, R. M. Meyer, T. Brand, and B. Kollmeier, “Challenging the Speech Intelligibility Index: macroscopic vs. microscopic prediction of sentence recognition in normal and hearing-impaired listeners,“ Proceedings of the Interspeech, Makuhari, Japan, 2010, pp. 2478-2481.
 B. Meyer, T. Jürgens, T. Wesker, T. Brand, and B. Kollmeier, “Human phoneme recognition depending on speech-intrinsic variability “ J. Acoust. Soc. Am. 128 (5), 2010, pp. 3126–3141.
 T. Jürgens, T. Brand, “Microscopic prediction of speech recognition for listeners with normal hearing in noise using an auditory model,“ J. Acoust. Soc. Am. 126 (5), 2009, pp. 2635-2648.
 T. Jürgens, T. Brand, B. Kollmeier, “Modelling the human-machine gap in speech reception: microscopic speech intelligibility prediction for normal-hearing subjects with an auditory model,“ in Proceedings of the 8th Interspeech conference, Antwerp, Belgium, 2007, pp. 410-413.
 T. Jürgens, L. Gütay, G.H. Bauer, “Photoluminescence, open circuit voltage, and photocurrents in Cu(In,Ga)Se2 solar cells with lateral submicron resolution,“ Thin Solid Films 511, 2006, pp. 678-683.
 T. Jürgens, V. Hohmann, A. Büchner, W. Nogueira “The effects of electrical field spatial spread and some cognitive factors on speech-in-noise performance of individual cochlear implant users - a computer model study,” submitted to PlosOne
 B. Williges, T. Jürgens, H. Hu, M. Dietz"Coherent coding of enhanced interaural cues improves sound localization in noise with bilateral cochlear implants," submitted to Trends in Hearing
 T. Jürgens, A. Eichenauer, M. Dietz „“Variation der Cochlea-Implantat Elektrodenzuordnung in Abhängigkeit von spektralen Eigenschaften mit unterschiedlichen Stimulationsraten,” Patent DE 10 2016 214 745.5, 2016, submitted to German patent office.