The electric guitar has been developed to withstand electric amplification and utilize (mostly analog) signal processing in order to create a multitude of timbres and sound types. Sometimes it would be desirable to play the same electric guitar, yet with a sound that resembles a good acoustic guitar or some other member of the plucked string instrument family. In this sudy we have investigated ...

In this paper we discuss some issues in processing speech signals, especially for isolated utterances of characters of a language. For processing this speech signal we have no clues of higher level linguistic information such a s prosodics, lexical, syntax, and semantics. Any representation of signals in terms of fixed parameters for each short (10-20 msec) segment is not likely to provide the ...

1Digital Signal Processing Group, Ruhr-Universität Bochum, 44780 Bochum, Germany 2 Siemens Audiologische Technik GmbH, 91058 Erlangen, Germany 3 Institute for Human-Machine Communication, Technische Universität München, 80333 München, Germany 4 Signal Processing Laboratory, Western Australian Telecommunications Research Institute (WATRI), Crawley, WA 6009, Australia 5Centre for Applied Hearing ...

in recent years, need to increase the convenience of trips in railway vehicles causes that train operators and manufacturers focus on reducing the noise level which is sensed by passengers. in this paper, first the state of modeling acoustic noise in cab train is discussed and natural frequencies and acoustic mode shapes are derived and then formulation of acoustic pressure in the cab will be o...

Within a general framework for seamless acoustic man-machine interfaces, common problems for different classes of applications are identified. Removing loudspeaker echoes, noise, and reverberation of local sources from microphone signals, and conditioning loudspeaker signals to eliminate reverberation and noise at a listener’s ears constitute problems of system identification and signal separat...

The relation between signals and symbols is a central problem for acoustic signal processing. Among different kind of signals, musical signals are specific examples in which there is some information regarding the underlying symbolic structure. While an impressive amount of research has been done in this domain in the past thirty years, the symbolic processing of acoustic and musical signals is...

Mismatch problem has been one of important issues of matched field processing for underwater source detection. Experimental use of MFP has shown that robust range and depth localization is difficult to achieve. In many cases this is due to uncertainty in the environmental inputs required by acoustic propagation models. The paper presents that EMD (Empirical mode decomposition) processing underw...

Emotional speech recognition is the problem of discriminating speech samples by their emotional content. Our solution to this problem lies on three areas: signal processing, computational linguistics, and statistical learning. At signal processing and computational linguistics levels, identification and extraction of speech features is concerned; proposed in this work is a set of acoustic and l...