Single Channel Phase-Aware Signal Processing in Speech Communication: Theory and Practice
Pejman Mowlaee, Johannes Stahl, Josef Kulmer and Florian Mayer
Graz University of Technology, Austria
An overview on the challenging new topic of phase-aware signal processing
Speech communication technology is a key factor in human-machine interaction, digital hearing aids, mobile telephony, and automatic speech/speaker recognition. With the proliferation of these applications, there is a growing requirement for advanced methodologies that can push the limits of the conventional solutions relying on processing the signal magnitude spectrum.
Single-Channel Phase-Aware Signal Processing in Speech Communication provides a comprehensive guide on phase signal processing and reviews the history of phase importance in the literature, basic problems in phase processing, fundamentals of phase estimation together with several applications to demonstrate the usefulness of phase processing.
Key features:
Single-Channel Phase-Aware Signal Processing in Speech Communication is a valuable single-source for students, non-expert DSP engineers, academics and graduate students.
Pejman Mowlaee, Graz University of Technology, Austria
Dr. Mowlaee is a Senior Research and Teaching Associate at the Speech Communication and Signal Processing Laboratory, Graz University of Technology, Austria. He has received several awards including best M.Sc. thesis, awarded by the National Scientific Students’ Organization of Electrical Engineering in 2007; and was a member of the organizing committee for the annual European Signal Processing Conference in 2010 in Aalborg and AUDIS workshop 2012 in Aachen. He has contributed over 40 journal and conference articles; he is a senior member of IEEE, acted as a reviewer for a number of journals, and has played an active role in organizing special sessions on the topic of the book at INTERSPEECH conferences. Dr. Mowlaee is also Guest Editor for the forthcoming Special Issue in Speech Communication (Elsevier) on Phase-Aware Signal Processing for Speech Communication.
Johannes Stahl, Graz University of Technology, Austria
In 2009,?Johannes started studying Electrical Engineering and Audio Engineering, at Graz University of Technology. In 2015, he received his Dipl.-Ing. (MSc) degree with distinction. In 2015 he joined the Signal Processing and Speech Communication Laboratory, at Graz University of Technology, where he is currently pursuing his PhD thesis in the field of speech processing.
Josef Kulmer, Graz University of Technology, Austria
Josef?received the M.Sc. degree from Graz University of Technology, Austria, in 2014. In 2014 he joined the Signal Processing and Speech Communication Laboratory, at Graz, University of Technology, where he is currently pursuing his PhD thesis in the field of signal processing.
Florian Mayer, Graz University of Technology, Austria
In 2006,?Florian started studying Electrical Engineering and Audio Engineering, at Graz University of Technology, and received his Dipl.-Ing. (MSc) in 2015. In 2015 he joined the Signal Processing and Speech Communication Laboratory, at Graz University of Technology, where he is currently pursuing his PhD thesis in the field of speech processing.
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