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ORCIDBirger Kollmeier
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- affiliation: University of Oldenburg, Germany
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Journal Articles
- 2022
[j26]Angel Mario Castro Martinez
, Constantin Spille, Jana Roßbach, Birger Kollmeier, Bernd T. Meyer:
Prediction of speech intelligibility with DNN-based performance measures. Comput. Speech Lang. 74: 101329 (2022)- [j25]Henning F. Schepker, Florian Denk, Birger Kollmeier, Simon Doclo:
Robust single- and multi-loudspeaker least-squares-based equalization for hearing devices. EURASIP J. Audio Speech Music. Process. 2022(1): 15 (2022) - 2020
- [j24]Samira K. Saak, Andrea Hildebrandt, Birger Kollmeier, Mareike Buhl:
Predicting Common Audiological Functional Parameters (CAFPAs) as Interpretable Intermediate Representation in a Clinical Decision-Support System for Audiology. Frontiers Digit. Health 2: 596433 (2020) - 2019
- [j23]Feifei Xiong, Stefan Goetze, Birger Kollmeier, Bernd T. Meyer:
Joint Estimation of Reverberation Time and Early-To-Late Reverberation Ratio From Single-Channel Speech Signals. IEEE ACM Trans. Audio Speech Lang. Process. 27(2): 255-267 (2019) - 2018
- [j22]Constantin Spille, Stephan Dieter Ewert, Birger Kollmeier, Bernd T. Meyer:
Predicting speech intelligibility with deep neural networks. Comput. Speech Lang. 48: 51-66 (2018) - [j21]Constantin Spille, Birger Kollmeier, Bernd T. Meyer:
Comparing human and automatic speech recognition in simple and complex acoustic scenes. Comput. Speech Lang. 52: 123-140 (2018) - [j20]Jasper Ooster, Rainer Huber, Birger Kollmeier, Bernd T. Meyer:
Evaluation of an automated speech-controlled listening test with spontaneous and read responses. Speech Commun. 98: 85-94 (2018) - [j19]Feifei Xiong, Stefan Goetze, Birger Kollmeier, Bernd T. Meyer:
Exploring Auditory-Inspired Acoustic Features for Room Acoustic Parameter Estimation From Monaural Speech. IEEE ACM Trans. Audio Speech Lang. Process. 26(10): 1809-1820 (2018) - 2017
- [j18]Niko Moritz, Kamil Adiloglu, Jörn Anemüller, Stefan Goetze, Birger Kollmeier:
Multi-Channel Speech Enhancement and Amplitude Modulation Analysis for Noise Robust Automatic Speech Recognition. Comput. Speech Lang. 46: 558-573 (2017) - [j17]Constantin Spille, Birger Kollmeier, Bernd T. Meyer:
Combining Binaural and Cortical Features for Robust Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 25(4): 756-767 (2017) - [j16]Jens Schröder, Niko Moritz, Jörn Anemüller, Stefan Goetze, Birger Kollmeier:
Classifier Architectures for Acoustic Scenes and Events: Implications for DNNs, TDNNs, and Perceptual Features from DCASE 2016. IEEE ACM Trans. Audio Speech Lang. Process. 25(6): 1304-1314 (2017) - 2016
- [j15]Steffen Kortlang, Giso Grimm, Volker Hohmann, Birger Kollmeier, Stephan Dieter Ewert:
Auditory Model-Based Dynamic Compression Controlled by Subband Instantaneous Frequency and Speech Presence Probability Estimates. IEEE ACM Trans. Audio Speech Lang. Process. 24(10): 1759-1772 (2016) - [j14]Niko Moritz, Birger Kollmeier, Jörn Anemüller:
Integration of Optimized Modulation Filter Sets Into Deep Neural Networks for Automatic Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 24(12): 2439-2452 (2016) - 2015
- [j13]Hongmei Hu, Birger Kollmeier, Mathias Dietz:
Reduction of stimulation coherent artifacts in electrically evoked auditory brainstem responses. Biomed. Signal Process. Control. 21: 74-81 (2015) - [j12]Niko Moritz, Jörn Anemüller, Birger Kollmeier:
An Auditory Inspired Amplitude Modulation Filter Bank for Robust Feature Extraction in Automatic Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 23(11): 1926-1937 (2015) - 2011
- [j11]Jörg-Hendrik Bach, Jörn Anemüller, Birger Kollmeier:
Robust speech detection in real acoustic backgrounds with perceptually motivated features. Speech Commun. 53(5): 690-706 (2011) - [j10]Bernd T. Meyer, Birger Kollmeier:
Robustness of spectro-temporal features against intrinsic and extrinsic variations in automatic speech recognition. Speech Commun. 53(5): 753-767 (2011) - 2010
- [j9]Sebastian Puschmann, Stefan Uppenkamp, Birger Kollmeier, Christiane M. Thiel:
Dichotic pitch activates pitch processing centre in Heschl's gyrus. NeuroImage 49(2): 1641-1649 (2010) - 2009
- [j8]Hendrik Kayser, Stephan Dieter Ewert, Jörn Anemüller, Thomas Rohdenburg, Volker Hohmann, Birger Kollmeier:
Database of Multichannel In-Ear and Behind-the-Ear Head-Related and Binaural Room Impulse Responses. EURASIP J. Adv. Signal Process. 2009 (2009) - [j7]Giso Grimm, Volker Hohmann, Birger Kollmeier:
Increase and Subjective Evaluation of Feedback Stability in Hearing Aids by a Binaural Coherence-Based Noise Reduction Scheme. IEEE Trans. Speech Audio Process. 17(7): 1408-1419 (2009) - 2006
- [j6]Rainer Huber, Birger Kollmeier:
PEMO-Q - A New Method for Objective Audio Quality Assessment Using a Model of Auditory Perception. IEEE Trans. Speech Audio Process. 14(6): 1902-1911 (2006) - 2003
- [j5]Jörn Anemüller, Birger Kollmeier:
Adaptive separation of acoustic sources for anechoic conditions: A constrained frequency domain approach. Speech Commun. 39(1-2): 79-95 (2003) - [j4]Jürgen Tchorz, Birger Kollmeier:
SNR estimation based on amplitude modulation analysis with applications to noise suppression. IEEE Trans. Speech Audio Process. 11(3): 184-192 (2003) - 2002
- [j3]Jürgen Tchorz, Birger Kollmeier:
Estimation of the signal-to-noise ratio with amplitude modulation spectrograms. Speech Commun. 38(1-2): 1-17 (2002) - [j2]M. Marzinzik, Birger Kollmeier:
Speech pause detection for noise spectrum estimation by tracking power envelope dynamics. IEEE Trans. Speech Audio Process. 10(2): 109-118 (2002) - 2001
- [j1]Michael Kleinschmidt, Jürgen Tchorz, Birger Kollmeier:
Combining speech enhancement and auditory feature extraction for robust speech recognition. Speech Commun. 34(1-2): 75-91 (2001)
Conference and Workshop Papers
- 2022
- [c39]Maximilian Karl Scharf, Sabine Hochmuth, Lena L. N. Wong, Birger Kollmeier, Anna Warzybok:
Lombard Effect for Bilingual Speakers in Cantonese and English: importance of spectro-temporal features. INTERSPEECH 2022: 1377-1381 - 2018
- [c38]Florian Denk, Henning F. Schepker, Simon Doclo, Birger Kollmeier:
Equalization filter design for achieving acoustic transparency in a semi-open fit hearing device. ITG Symposium on Speech Communication 2018: 1-5 - [c37]Henning F. Schepker, Florian Denk, Birger Kollmeier, Simon Doclo:
Multi-loudspeaker equalization for acoustic transparency in a custom hearing device. ITG Symposium on Speech Communication 2018: 1-5 - [c36]Paul Kranzusch, Rainer Huber, Melanie Krüger, Birger Kollmeier, Bernd T. Meyer:
Prediction of Subjective Listening Effort from Acoustic Data with Non-Intrusive Deep Models. INTERSPEECH 2018: 981-985 - 2016
- [c35]Niko Moritz, Jens Schröder, Stefan Goetze, Jörn Anemüller, Birger Kollmeier:
Acoustic Scene Classification using Time-Delay Neural Networks and Amplitude Modulation Filter Bank Features. DCASE 2016: 70-74 - [c34]Marc René Schädler, David Hülsmeier, Anna Warzybok, Sabine Hochmuth, Birger Kollmeier:
Microscopic Multilingual Matrix Test Predictions Using an ASR-Based Speech Recognition Model. INTERSPEECH 2016: 610-614 - 2015
- [c33]Niko Moritz, Stephan Gerlach, Kamil Adiloglu, Jörn Anemüller, Birger Kollmeier, Stefan Goetze:
A CHiME-3 challenge system: Long-term acoustic features for noise robust automatic speech recognition. ASRU 2015: 468-474 - [c32]Bernd T. Meyer, Birger Kollmeier, Jasper Ooster:
Autonomous measurement of speech intelligibility utilizing automatic speech recognition. INTERSPEECH 2015: 2982-2986 - 2014
- [c31]Hongmei Hu, Stephan Dieter Ewert, Tom A. Campbell, Birger Kollmeier, Mathias Dietz:
An interaural electrode pairing clinical research system for bilateral cochlear implants. ChinaSIP 2014: 66-70 - [c30]Jan-Hendrik Flesner, Stephan Dieter Ewert, Birger Kollmeier, Rainer Huber:
Quality assessment of multi-channel audio processing schemes based on a binaural auditory model. ICASSP 2014: 1340-1344 - [c29]Stefan Goetze, Anna Warzybok, Ina Kodrasi, Jan Ole Jungmann, Benjamin Cauchi, Jan Rennies, Emanuël A. P. Habets, Alfred Mertins, Timo Gerkmann, Simon Doclo, Birger Kollmeier:
A study on speech quality and speech intelligibility measures for quality assessment of single-channel dereverberation algorithms. IWAENC 2014: 233-237 - [c28]Anna Warzybok, Ina Kodrasi, Jan Ole Jungmann, Emanuël A. P. Habets, Timo Gerkmann, Alfred Mertins, Simon Doclo, Birger Kollmeier, Stefan Goetze:
Subjective speech quality and speech intelligibility evaluation of single-channel dereverberation algorithms. IWAENC 2014: 332-336 - 2013
- [c27]Jens Schröder, Niko Moritz, Marc René Schädler, Benjamin Cauchi, Kamil Adiloglu, Jörn Anemüller, Simon Doclo, Birger Kollmeier, Stefan Goetze:
On the use of spectro-temporal features for the IEEE AASP challenge 'detection and classification of acoustic scenes and events'. WASPAA 2013: 1-4 - 2012
- [c26]Niko Moritz, Jörn Anemüller, Birger Kollmeier:
Amplitude Modulation Filters as Feature Sets for Robust ASR: Constant Absolute or Relative Bandwidth? INTERSPEECH 2012: 1231-1234 - [c25]Bernd T. Meyer, Constantin Spille, Birger Kollmeier, Nelson Morgan:
Hooking up spectro-temporal filters with auditory-inspired representations for robust automatic speech recognition. INTERSPEECH 2012: 1259-1262 - [c24]Marc René Schädler, Birger Kollmeier:
Normalization of spectro-temporal Gabor filter bank features for improved robust automatic speech recognition systems. INTERSPEECH 2012: 1812-1815 - 2011
- [c23]Niko Moritz, Jörn Anemüller, Birger Kollmeier:
Amplitude modulation spectrogram based features for robust speech recognition in noisy and reverberant environments. ICASSP 2011: 5492-5495 - [c22]Jan Rennies, Thomas Brand, Birger Kollmeier:
Prediction of Binaural Intelligibility Level Differences in Reverberation. INTERSPEECH 2011: 37-40 - 2010
- [c21]Jörg-Hendrik Bach, Birger Kollmeier, Jörn Anemüller:
Modulation-based detection of speech in real background noise: Generalization to novel background classes. ICASSP 2010: 41-44 - [c20]Bernd T. Meyer, Birger Kollmeier:
Learning from human errors: prediction of phoneme confusions based on modified ASR training. INTERSPEECH 2010: 1209-1212 - [c19]Tim Jürgens, Stefan Fredelake, Ralf M. Meyer, Birger Kollmeier, Thomas Brand:
Challenging the speech intelligibility index: macroscopic vs. microscopic prediction of sentence recognition in normal and hearing-impaired listeners. INTERSPEECH 2010: 2478-2481 - [c18]Verena N. Uslar, Thomas Brand, Mirko Hanke, Rebecca Carroll, Esther Ruigendijk, Cornelia Hamann, Birger Kollmeier:
Does sentence complexity interfere with intelligibility in noise? evaluation of the oldenburg linguistically and audiologically controlled sentence test (OLACS). INTERSPEECH 2010: 2482-2485 - 2009
- [c17]Bernd T. Meyer, Birger Kollmeier:
Complementarity of MFCC, PLP and Gabor features in the presence of speech-intrinsic variabilities. INTERSPEECH 2009: 2755-2758 - 2008
- [c16]Thomas Rohdenburg, Stefan Goetze, Volker Hohmann, Karl-Dirk Kammeyer, Birger Kollmeier:
Objective perceptual quality assessment for self-steering binaural hearing aid microphone arrays. ICASSP 2008: 2449-2452 - [c15]Bernd T. Meyer, Birger Kollmeier:
Optimization and evaluation of Gabor feature sets for ASR. INTERSPEECH 2008: 906-909 - 2007
- [c14]Tim Jürgens, Thomas Brand, Birger Kollmeier:
Modelling the human-machine gap in speech reception: microscopic speech intelligibility prediction for normal-hearing subjects with an auditory model. INTERSPEECH 2007: 410-413 - [c13]Bernd T. Meyer, Matthias Wächter, Thomas Brand, Birger Kollmeier:
Phoneme confusions in human and automatic speech recognition. INTERSPEECH 2007: 1485-1488 - 2005
- [c12]Thomas Rohdenburg, Volker Hohmann, Birger Kollmeier:
Matlab Simulationsumgebung zur Entwicklung von Algorithmen der Audio-Signalverarbeitung am Beispiel des verlustleistungsoptimierten Entwurfs von Hörgerätealgorithmen. GI Jahrestagung (1) 2005: 452 - [c11]Thorsten Wesker, Bernd T. Meyer, Kirsten Wagener, Jörn Anemüller, Alfred Mertins, Birger Kollmeier:
Oldenburg logatome speech corpus (OLLO) for speech recognition experiments with humans and machines. INTERSPEECH 2005: 1273-1276 - [c10]Wolfgang Nebel, Bärbel Mertsching, Birger Kollmeier:
Digital Hearing Aids: Challenges and Solutions for Ultra Low Power. PATMOS 2005: 733 - [c9]Thomas Rohdenburg, Volker Hohmann, Birger Kollmeier:
Tutorial Hearing Aid Algorithms. PATMOS 2005: 734 - 2003
- [c8]Birger Kollmeier:
Auditory principles in speech processing - do computers need silicon ears ? INTERSPEECH 2003: 5-8 - 2000
- [c7]Jürgen Tchorz, Michael Kleinschmidt, Birger Kollmeier:
Noise Suppression Based on Neurophysiologically-motivated SNR Estimation for Robust Speech Recognition. NIPS 2000: 821-827 - 1999
- [c6]Alexander Schwarz, Bärbel Mertsching, M. Brucke, Wolfgang Nebel, Jürgen Tchorz, Birger Kollmeier:
Implementing a Quantitative Model for the "Effective" Signal Processing in the Auditory System on a Dedicated Digital VLSI Hardware. EUROMICRO 1999: 1133-1139 - [c5]Jürgen Tchorz, Birger Kollmeier:
Speech detection and SNR prediction basing on amplitude modulation pattern recognition. EUROSPEECH 1999: 2399-2402 - 1997
- [c4]Martin Hansen, Birger Kollmeier:
Using a quantitative psychoacoustical signal representation for objective speech quality measurement. ICASSP 1997: 1387-1390 - [c3]Jürgen Tchorz, Klaus Kasper, Herbert Reininger, Birger Kollmeier:
On the interplay between auditory-based features and locally recurrent neural networks for robust speech recognition in noise. EUROSPEECH 1997: 2075-2078 - 1996
- [c2]William S. Woods, Martin Hansen, Thomas Wittkop, Birger Kollmeier:
A simple architecture for using multiple cues in sound separation. ICSLP 1996: 909-912 - 1994
- [c1]Volker Hohmann, Birger Kollmeier:
Digital hearing aid techniques employing a loudness model for recruitment compensation. ICSLP 1994: 2111-2114
Informal and Other Publications
- 2024
- [i7]Samira K. Saak, Dirk Oetting, Birger Kollmeier, Mareike Buhl:
Integrating audiological datasets via federated merging of Auditory Profiles. CoRR abs/2407.20765 (2024) - 2022
- [i6]Angel Mario Castro Martinez, Constantin Spille, Jana Roßbach, Birger Kollmeier, Bernd T. Meyer:
Prediction of speech intelligibility with DNN-based performance measures. CoRR abs/2203.09148 (2022) - [i5]Maximilian Karl Scharf, Sabine Hochmuth, Lena L. N. Wong, Birger Kollmeier, Anna Warzybok:
Lombard Effect for Bilingual Speakers in Cantonese and English: importance of spectro-temporal features. CoRR abs/2204.06907 (2022) - 2021
- [i4]Henning F. Schepker, Florian Denk, Birger Kollmeier, Simon Doclo:
Robust single- and multi-loudspeaker least-squares-based equalization for hearing devices. CoRR abs/2109.04241 (2021) - [i3]Henning F. Schepker, Reinhild Roden, Florian Denk, Birger Kollmeier, Matthias Blau, Simon Doclo:
Individualized sound pressure equalization in hearing devices exploiting an electro-acoustic model. CoRR abs/2110.01422 (2021) - 2020
- [i2]Florian Denk, Birger Kollmeier:
The Hearpiece database of individual transfer functions of an openly available in-the-ear earpiece for hearing device research. CoRR abs/2004.06579 (2020) - [i1]David Hülsmeier, Marc René Schädler, Birger Kollmeier:
Towards accurate simulations of individual speech recognition benefits with real hearing aids with FADE. CoRR abs/2007.05378 (2020)
Coauthor Index
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last updated on 2024-10-07 22:24 CEST by the dblp team
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