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NASA Scientific and Technical Aerospace Reports

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20060001646 Windsor Univ., Ontario, Canada<br />

Segmentation of Noisy Images Modelled by Markov R<strong>and</strong>om Fields with Gibbs Distribution<br />

El-Gabali, M.; Shridhar, M.; Ahmadi, M.; IEEE International Conference on Acoustics, Speech, <strong>and</strong> Signal Processing<br />

(ICASSP ‘87); Volume 1; 1987, pp. 551-554; In English; See also 20060001583; Copyright; Avail.: Other Sources<br />

Restoration of noisy images through the use of Gibbs field model for the image <strong>and</strong> a Gaussian r<strong>and</strong>om field<br />

characterization of the corrupting noise is discussed in this paper. Two new algorithms capable of parallel implementation are<br />

presented <strong>and</strong> shown to yield satisfactory restoration of images corrupted by high levels of noise.<br />

Author<br />

Noise (Sound); Restoration; Images<br />

20060001650 Technion - Israel Inst. of Tech., Haifa, Israel<br />

A Frequency Domain Approach to Multiframe Detection <strong>and</strong> Estimation of Dim Targets<br />

Porat, Boaz; Friedl<strong>and</strong>er, Banjamin; IEEE International Conference on Acoustics, Speech, <strong>and</strong> Signal Processing (ICASSP<br />

‘87); Volume 1; 1987, pp. 591-594; In English; See also 20060001583<br />

Contract(s)/Grant(s): F04704 86 C 0144; Copyright; Avail.: Other Sources<br />

This paper proposes a new algorithm for detecting moving targets by mosaic sensors <strong>and</strong> estimating their trajectories. The<br />

algorithm is based oil directional filtering ill the frequency domain, using a bank of filters for all possible target directions.<br />

The proposed algorithm is described in detail, <strong>and</strong> its performance is illustrated by a numerical example.<br />

Author<br />

Detection; Algorithms; R<strong>and</strong>om Noise; Targets; Dimming; Frequency Domain Analysis<br />

20060001654 Institut de la Communication Parlee, Grenoble, France<br />

Vocal Tract Simulation: Implementation of Continuous Variations of the Length in a Kelly-Lochbaum Model, Effects<br />

of Area Function Spatial Sampling<br />

Wu, H. Y.; Badin, P.; Cheng, Y. M.; Guerin, B.; IEEE International Conference on Acoustics, Speech, <strong>and</strong> Signal Processing<br />

(ICASSP ‘87); Volume 1; 1987, pp. 1.4.2-1.4.4; In English; See also 20060001583; Copyright; Avail.: Other Sources<br />

The shape of the vocal tract <strong>and</strong> its dynamic transitions convey an essential part of the phonetic information in speech.<br />

Therefore the way to represent this shape is important for the quality of speech coding or speech synthesis. In this paper, we<br />

first study the influence of the spatial sampling of the area function upon the acoustic characteristics of the vocal tract, <strong>and</strong><br />

determine an optimal sampling step minimizing the computational cost without perceptual degradation. In a second part, we<br />

deal with the problem of continuous variation of the vocal tract length for a KELLY-LOCHBAUM reflexion line analog<br />

simulation : we propose a method of temporal sampling frequency conversion.<br />

Author<br />

Voice Data Processing; Analog Simulation; Frequency Converters; Phonetics<br />

20060001656 Institute for Perception RVO-TNO, Soesterberg, Netherl<strong>and</strong>s<br />

Diagnostic Information from Subjective <strong>and</strong> Objective Intelligibility Tests<br />

Steeneken, Herman J. M.; IEEE International Conference on Acoustics, Speech, <strong>and</strong> Signal Processing (ICASSP ‘87); Volume<br />

1; 1987, pp. 1.3.1 - 1.3.4; In English; See also 20060001583; Copyright; Avail.: Other Sources<br />

An attempt was made to obtain from two subjective <strong>and</strong> one objective intelligibility measures additional information<br />

concerning the type of deterioration the speech signal was subjected to. For this method a data reduction of the original<br />

phoneme scores <strong>and</strong> phoneme confusions was applied. This procedure was also performed for an objective (intelligibility<br />

related) physical measure, the STI. Promising results on the classification of speech transmission systems were obtained,<br />

especially with the objective method. The method based on subjective measures may also be of interest for the classification<br />

of hearing disorders.<br />

Author<br />

Intelligibility; Phonemes; Auditory Defects; Classifications<br />

20060001658 Centre National de la Recherche Scientifique, Paris, France<br />

Modeling Spectral Speech Transitions Using Temporal Decomposition Techniques<br />

Ahlbom, Gunnar; Bimbot, Frederic; Chollet, Gerard; IEEE International Conference on Acoustics, Speech, <strong>and</strong> Signal<br />

Processing (ICASSP ‘87); Volume 1; 1987, pp. 1.5.1-1.5.4; In English; See also 20060001583; Copyright; Avail.: Other<br />

Sources<br />

205

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