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parameters <strong>and</strong> propose some important variables to control in musical sound.<br />

Author<br />

Fast Fourier Transformations; Decay; Spectral Energy Distribution; Stiffness<br />

20060001624 Tokyo Inst. of Tech., Yokahama, Japan<br />

High Resolution Frequency Analysis of Voices-Feature Extraction of Nasal Consonants<br />

Harada, Tetsuya; Kawarda, Hiroshi; IEEE International Conference on Acoustics, Speech, <strong>and</strong> Signal Processing (ICASSP<br />

‘87); Volume 1; 1987, pp. 8.7.1 - 8.7.4; In English; See also 20060001583; Copyright; Avail.: Other Sources<br />

This paper gives a high resolution spectral analysis of Japanese nasal syllables uttered by 50 male <strong>and</strong> female speakers,<br />

feature extraction <strong>and</strong> recognition experiments. The spectral analyzer consists of a b<strong>and</strong>-pass filter bank whose resolution is<br />

24 or 96 channels per octave <strong>and</strong> Q=30 or 14. Detailed observation of spectral patterns of the nasal syllables shows that the<br />

features which distinguish between labial <strong>and</strong> alveolar exist not only in the second formant transition but also in frequency<br />

interval between the second <strong>and</strong> higher formants. In the recognition experiments for 1,000 nasal syllables based on a new<br />

recognition method named augmented feature space method (AFSM), all syllables are recognized correctly excluding several<br />

misheard ones in the hearing test.<br />

Author<br />

Frequencies; Speech Recognition; Spectrum Analysis<br />

20060001635 Analysis <strong>and</strong> Technology, Inc., North Stonington, CT, USA<br />

Design of Continuous Gain Adaptive Alpha Beta Trackers for Passive Sonar Application<br />

Wenk, Carl J.; Jarvis, Harold F., Jr.; IEEE International Conference on Acoustics, Speech, <strong>and</strong> Signal Processing (ICASSP<br />

‘87); Volume 1; 1987, pp. 12.1.1-12.1.4; In English; See also 20060001583; Copyright; Avail.: Other Sources<br />

This paper presents a new method for realtime tracking of target signal parameters in passive underwater acoustics. The<br />

method provides a recursive, closed-loop alpha beta tracking algorithm, in which gains alpha <strong>and</strong> beta adapt automatically in<br />

a continuous-valued, instantaneous manner, to both received target signal-to-noise ratio variation, <strong>and</strong> target dynamical<br />

maneuvers.<br />

Author<br />

Underwater Acoustics; Amplification; Adaptive Control; Tracking (Position)<br />

20060001637 Naval Underwater Systems Center, New London, CT, USA<br />

High Resolution Multipath Time Delay Estimation for Broadb<strong>and</strong> R<strong>and</strong>om Signals<br />

Ianniello, John P.; IEEE International Conference on Acoustics, Speech, <strong>and</strong> Signal Processing (ICASSP ‘87); Volume 1;<br />

1987, pp. 12.4.1 - 12.4.4; In English; See also 20060001583; Copyright; Avail.: Other Sources<br />

We examine the limits to multipath time delay resolution for broadb<strong>and</strong> r<strong>and</strong>om signals. We first derive Cramer-Rao<br />

bounds for both two path <strong>and</strong> three path cases to establish baseline performance for unbiased estimation. We then compare<br />

the bounds with computer simulation. For the two path case we implement a maximum likelihood estimator while for the three<br />

path case we estimate the delays using the Modified Forward Backward Linear Prediction algorithm developed for high<br />

resolution frequency estimation. It is shown that both techniques achieve performance close to the Cramer-Rao bound.<br />

Author<br />

Broadb<strong>and</strong>; High Resolution; R<strong>and</strong>om Signals; Time Lag; Mathematical Models<br />

20060001638 Naval Underwater Systems Center, New London, CT, USA<br />

A Practical Approach to Estimation of Amplitude Time Delay Parameters of a Composite Signal in Non-White<br />

Gaussian Noise<br />

Tremblay, Roger J.; Carter, G. Clifford; Lytle, Dean W.; IEEE International Conference on Acoustics, Speech, <strong>and</strong> Signal<br />

Processing (ICASSP ‘87); Volume 1; 1987, pp. 12.9.1 - 12.9.4; In English; See also 20060001583; Copyright; Avail.:<br />

Other Sources<br />

A method for estimating the amplitude <strong>and</strong> time delay parameters for signals which can be represented as a sum of a<br />

number of scaled <strong>and</strong> delayed replicas of a known signal in the presence of non-white Gaussian noise is presented. The method<br />

is based upon the principles of maximum likelihood estimation but at certain key points simplifying assumptions are made<br />

that result in a computationally practical estimation scheme.<br />

Author<br />

Delay; Time Lag; Signal Analysis; Maximum Likelihood Estimates<br />

204

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