Keynote Speaker

Tetsuya Shimamura
Graduate School of Science and Engineering,
Information Technology Center
Saitama University, Japan
Title: Recent Progress for Noise-Robust Speech Analysis

Abstract :
Digital signal processing and speech processing have evolved hand in hand over the last 50 years. Current speech processing techniques rely on advanced digital signal processing theories and algorithms. Especially, for speech analysis, this is true. In this talk, speech analysis in noise, being a hot topic in speech processing, is discussed. Fundamental frequency (or pitch) estimation, formant frequency estimation and spectrum envelope estimation are considered. In a noise-free environment, these tasks are achieved by using autocorrelation function, cepstrum, linear prediction and so on. In a noisy environment, however, the performance of such speech analysis algorithms degrades suddenly. To solve the problem, new algorithms have been developed recent years. In this talk, some of them are introduced.  For fundamental frequency estimation, autocorrelation-based and modified autocorrelation-based approaches are shown. In such approaches, average magnitude difference function or cepstrum or both are effectively combined depending on the noisy situation. For formant and spectrum envelope estimation, noise compensation and pitch synchronous analysis approaches for linear prediction are shown. In such approaches, an iterative algorithm can be utilized to enhance the noise robustness. The performance of each algorithm will be demonstrated for synthetic and real speech data, in which a variety of noise conditions will be considered.

 

Short Biography:

Tetsuya Shimamura is a Professor of Graduate School of Science and Engineering, and Information Technology Center at Saitama University in Japan. He was Dean of Information Technology Center at Saitama University in 2014 and 2015.  In 1995 and 1996, he joined Loughborough University, UK, and The Queen's University of Belfast, UK, respectively, as a visiting Professor. His research interests are in digital signal processing and its applications to speech, audio, image and communication systems. He has published over 90 refereed journal articles and 220 international conference proceedings papers. He is an author or co-author of eight books, and a member of the organizing committee of several international conferences. He has received IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, Gold Paper Award, in 2012, WSEAS International Conference on Multimedia Systems and Signal Processing, Best Paper Award, in 2013, and IEEE IFOST, Best Paper Award, in 2014. Also, he is a recipient of Journal of Signal Processing, Best Paper Award, in 2013, 2015, and 2016.