2008 - IEEE Fellow For contributions to adaptive filtering and multi-channel acoustic signal processing
His primary scientific interests are in Speech recognition, Algorithm, Signal processing, Adaptive filter and Blind signal separation. The Speech recognition study combines topics in areas such as Acoustics, Reverberation, Robustness and Microphone. Walter Kellermann works mostly in the field of Reverberation, limiting it down to concerns involving Speech enhancement and, occasionally, Benchmark and Background noise.
His Algorithm research is multidisciplinary, relying on both Normalization, Weighting, Coherence, Frequency domain and Noise. His Adaptive filter research is multidisciplinary, incorporating perspectives in Filter and Nonlinear system. The study incorporates disciplines such as Underdetermined system, Audio over Ethernet, Independent component analysis, Source separation and Generalization in addition to Blind signal separation.
Walter Kellermann focuses on Speech recognition, Algorithm, Acoustics, Microphone and Adaptive filter. His Speech recognition study combines topics from a wide range of disciplines, such as Robustness, Artificial intelligence, Reverberation and Signal processing. His Algorithm study incorporates themes from Filter, Blind signal separation, Frequency domain, Noise and Nonlinear system.
His studies deal with areas such as Independent component analysis, Narrowband and Source separation as well as Blind signal separation. The various areas that Walter Kellermann examines in his Noise study include Acoustic source localization and Interference. Walter Kellermann works mostly in the field of Acoustics, limiting it down to topics relating to Microphone array and, in certain cases, Beamforming.
His scientific interests lie mostly in Algorithm, Speech recognition, Noise, Artificial intelligence and Microphone. Walter Kellermann interconnects Filter, Blind signal separation, Signal processing, Particle filter and Robustness in the investigation of issues within Algorithm. His Speech recognition study combines topics in areas such as Transfer function, Reduction, Loudspeaker, Humanoid robot and Speech enhancement.
His Artificial intelligence research includes themes of Computer vision and Pattern recognition. His Microphone study integrates concerns from other disciplines, such as Wireless, Electronic engineering, Background noise and Reverberation. Walter Kellermann combines subjects such as Adaptive filter and Linear filter with his study of Echo.
His primary areas of investigation include Algorithm, Speech recognition, Reverberation, Noise and Acoustic source localization. Walter Kellermann works in the field of Algorithm, namely Adaptive filter. His Speech recognition research incorporates themes from Probability distribution, Reduction, Robustness, Artificial intelligence and Speech enhancement.
His research in Noise intersects with topics in Covariance matrix and Direction of arrival. His Acoustic source localization research incorporates elements of Tracking, Real-time computing, Interference and Signal processing. His research investigates the link between Signal processing and topics such as Speech processing that cross with problems in Array processing.
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The reverb challenge: Acommon evaluation framework for dereverberation and recognition of reverberant speech
Keisuke Kinoshita;Marc Delcroix;Takuya Yoshioka;Tomohiro Nakatani.
workshop on applications of signal processing to audio and acoustics (2013)
A generalization of blind source separation algorithms for convolutive mixtures based on second-order statistics
H. Buchner;R. Aichner;W. Kellermann.
IEEE Transactions on Speech and Audio Processing (2005)
Analysis and design of multirate systems for cancellation of acoustical echoes
international conference on acoustics speech and signal processing (1988)
Making Machines Understand Us in Reverberant Rooms: Robustness Against Reverberation for Automatic Speech Recognition
Takuya Yoshioka;A. Sehr;M. Delcroix;K. Kinoshita.
IEEE Signal Processing Magazine (2012)
A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research
Keisuke Kinoshita;Marc Delcroix;Sharon Gannot;Emanuël A. P. Habets.
EURASIP Journal on Advances in Signal Processing (2016)
A self-steering digital microphone array
international conference on acoustics, speech, and signal processing (1991)
TRINICON: a versatile framework for multichannel blind signal processing
H. Buchner;R. Aichner;W. Kellermann.
international conference on acoustics, speech, and signal processing (2004)
Acoustic source detection and localization based on wavefield decomposition using circular microphone arrays
Heinz Teutsch;Walter Kellermann.
Journal of the Acoustical Society of America (2006)
Multichannel Signal Enhancement Algorithms for Assisted Listening Devices: Exploiting spatial diversity using multiple microphones
Simon Doclo;Walter Kellermann;Shoji Makino;Sven Erik Nordholm.
IEEE Signal Processing Magazine (2015)
Adaptation of a memoryless preprocessor for nonlinear acoustic echo cancelling
Alexander Stenger;Walter Kellermann.
Signal Processing (2000)
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