Results 261 to 270 of about 204,717 (300)

Log-domain circuits for auditory signal processing

42nd Midwest Symposium on Circuits and Systems (Cat. No.99CH36356), 2003
The theory and practice of log-domain filter design has reached the point where it is possible to incorporate log-domain filter structures into large current-mode VLSI systems. We report on interface circuits used to implement a current-mode frontend filterbank and feature extractor for acoustic pattern recognition. These circuits maintain a log-domain
R.T. Edwards, G. Cauwenberghs
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Differential auditory signal processing in an animal model

The Journal of the Acoustical Society of America, 2002
Auditory evoked responses were collected in male zebra finches (Poephila guttata) to objectively determine differential frequency selectivity. First, the mating call of the animal was recorded and analyzed for its frequency components through the customized program.
Dukhwan Lim, Chongsun Kim, Sun O. Chang
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Signal reconstruction from modified wavelet transform-An application to auditory signal processing

[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1992
A novel method of signal reconstruction from a modified auditory representation is presented. This consists of three parts: (1) an algorithm to reconstruct a signal from its modified wavelet transform with a general wavelet; (2) obtaining an auditory representation using an auditory wavelet transform whose analyzing wavelet is the impulse response of ...
Toshio Irino, Hideki Kawahara
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The Processing of Auditory Signals in the CNS of Orthoptera

1992
Sound production in the Orthoptera is based on a mechanism known as stridulation where one cuticular surface is repeatedly applied to another. In the katydids (Tettigoniidae) and crickets (Gryllidae) the effective appendages are the forewings (elytra) whereas in the locusts and grasshoppers (Acrididae) sound is most commonly produced by the movement of
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Dynamic, Compressive Gammachirp Auditory Filterbank for Perceptual Signal Processing

2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006
A gammachirp auditory filter was developed 1) to extend the domain of the gammatone auditory filter, 2) to simulate the changes in filter shape that occur with changes in stimulus level, 3) to explain a large body of simultaneous masking data, 4) to explain the compressive characteristics of the auditory filter system, and 5) to facilitate the ...
Toshio Irino, Roy D. Patterson
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Auditory Processing of Vocal Signals in Anurans

1977
Acoustic signaling between animals involves a rather remarkable cooperative communication channel. It enables rapid transfer of information over a considerable distance in which the sender and receiver need not be in visible contact, such as through dense foliage or in total darkness.
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Signal Processing Model of Human Auditory System

2015
To evaluate environmental noise, we need to use methods based on functioning of our auditory system. In this chapter, basics of human auditory system are described. First, the ear sensitivity of the human ear from a sound source to the auditory system consisting of the external canal, eardrum, bone chain with oval window, auditory nerve, cochlear ...
Yoshiharu Soeta, Yoichi Ando
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An intrinsic mode function basis dictionary for auditory signal processing

2014 International Conference on Audio, Language and Image Processing, 2014
As one important field of sparse representation, the research of dictionary learning attracts most researchers interest in signal processing study. Empirical Mode Decomposition (EMD), as an efficient and adaptive signal decomposition method that depends completely on the signal, is considered as an innovative and appropriative the basis function theory.
Chang Gao, Haifeng Li 0001, Lin Ma 0003
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Sound Signal Processing for Auditory Aids

2017
In this chapter, signal-processing methods for digital hearing aids are discussed and the author also describes how auditory characteristics and speech understanding abilities change because of hearing impairment as well as aging. In particular, the author introduces various approaches to signal processing such as noise-reduction methods, consonant ...
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A biological approach to auditory signal processing

1999
For speech recognition applications the ultimate goal is to achieve human-like performance. State of the art signal processing algorithms for speech recognition fall considerably short of this goal. I have attempted to reverse engineer peripheral regions of the mammalian auditory system to gain some insight into how our brains might process speech.
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