Analysis and Elimination of Dangerous Wave Propagation as Intelligent Adaptive Technique

Macháček, Zdeněk

doi:10.1007/978-3-642-20042-7_49

Cited by 5 publications

(2 citation statements)

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“…where F s is the sampling frequency; see [21] and [22]. The interval in which the maximum peak is searched is derived from the presumed physiological range of T 0 or F 0 , respectively, i.e.…”

Section: Voiced/unvoiced Analysis Of Speech Active Segments 431 Spectral Analysismentioning

confidence: 99%

Improved method of heuristic classification of vowels from an acoustic signal

Krocil¹,

Macháček²,

Koziorek³

et al. 2018

Turk J Elec Eng & Comp Sci

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The aim is to develop an improved method enabling the automatic allocation of vowel symbols to the corresponding time segments of acoustic recordings of an undisturbed speech signal. The combined classification method is based on finding frequencies of the first two local maxims (formants) in a smoothed linear predictive amplitude spectrum (LPC, linear predictive coding) and zero-crossing values of each speech active voiced short-term segment of the recording. Based on these monitored values, simple heuristic conditions are arranged for the classification of the respective vowel. Implementation of the algorithm was realized using the MATLAB environment and its Graphical User Interface (GUI) was used for the user interaction. Verification of the success rate of vowel classification was done using recordings of forty speakers (twenty men and twenty women), where each speaker repeated the vowels repeatedly with short successive pauses. The success rate of recognizing vowels is classified and evaluated based on results obtained from our designed method.

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Section: Voiced/unvoiced Analysis Of Speech Active Segments 431 Spectral Analysismentioning

confidence: 99%

Improved method of heuristic classification of vowels from an acoustic signal

Krocil¹,

Macháček²,

Koziorek³

et al. 2018

Turk J Elec Eng & Comp Sci

Self Cite

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“…The paper describes implementation of these algorithms, which form the basis for application with a user interface and various important editable parameters of the prediction and interpolation algorithms. The solution contains simulation of thermal processes in the environment, interpolation of measured points, and prediction of temperature processes in future moments [1].…”

Section: Introductionmentioning

confidence: 99%

Modeling of Temperature Field Distribution in Mine Dumps with Spread Prediction

Macháček

Hajovsky

2013

ElAEE

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The paper describes mathematical modeling and computation of thermal processes in the environment of mine dumps and industrial waste dumps. The developed program enables testing of various modeling methods and prediction of temperature field distribution and endogenous fires in mine dumps. It is possible to obtain enough information to design a mathematical model for spread prediction and possible dangerous endogenous fires from long time measurements of temperature fields below and above the surface. The present methodology is implemented in Matlab mathematical software environment, which enables the design of data files processing and implementation of algorithms for simulation of the temperature field in environment.

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