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1
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Identification of Aircraft Noise During Acoustic Monitoring by Using 3D Sound Probes

100%
Kłaczyński M.
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vol. 125
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issue 4A
A-144-A-148
EN
Undertaking long-term acoustic measurements on sites located near an airport is related to a problem of large quantities of recorded data which very often represents information not related to flight operations. In such areas, usually defined as zones of limited use, other sources of noise often exist such as roads or railway lines treated in such context as an acoustic background. Manual verification of such recorded data is a costly and time-consuming process. Automatic differentiation of the tested noise source from background and precise recognition of quantitative impact of aircraft noise on the acoustic climate in a particular area is an important task. This paper presents the idea of a method that can be used for identifying aircraft operations (flights, take-offs, landings) supported by experimental studies carried out with the use of 3D Microflown sound intensity probe and SoundField ST350 ambisonic microphone. The proposed method is based on determining the spatial sound intensity vector in the tested acoustic field during a monitoring timespan. On the grounds of this information, aircraft operations are marked in a continuous record of noise events.
2
Content available remote

Detection and Classification of Selected Noise Sources in Long-Term Acoustic Climate Monitoring

63%
Kłaczyński M., Wszołek T.
Acta Physica Polonica A
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2012
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vol. 121
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issue 1A
A-179-A-182
EN
Continuous acoustical climate monitoring of the environment raises several problems related to large quantities of the recorded data, which often represents information unrelated to the studied noise source. Manual verification of such data is time-consuming and costly. Therefore, developing effective methods for automatic identification of transport noise sources becomes an important task for the proper determination of noise levels. This paper presents a concept of such method of automatic detection and classification of the noise sources from the air and railway transportation in the acoustic environmental monitoring.
3
Content available remote

Automatic Detection of Long-Term Audible Noise Indices from Corona Phenomena on UHV AC Power Lines

63%
Wszołek T., Kłaczyński M.
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vol. 125
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issue 4A
A-93-A-98
EN
One of the most important tasks in outdoor acoustic monitoring stations is automatic extraction of the measured signal parameters. In case of corona discharge noise from ultra-high voltage alternating current (UHV AC) power lines it is necessary to select properly the corona audible noise (CAN) parameters to be monitored for noise indicators calculation, as the monitored signal and the background noise strongly fluctuate. A combined selection of distinctive features of CAN is necessary in order to distinguish the actual signal from the external interference. The vast amount of recorded data is difficult to store and process. Therefore, particular attention was devoted to define of the collected parameters used for automatic calculation of the CAN long-term noise indicators. In addition, several new CAN parameters were introduced, including spectral moments, spectral coefficients of tonal components contribution, and power coefficients in selected frequency bands; as it allowed more efficient selection of samples with non-zero contribution from CAN. The artificial neural network was applied for final classification of the measured samples. Selected and properly filtered samples provided the basis for calculations of long-term noise indicators. Efficiency of the said method was tested for the measurement sections with the recorded sound signal and aural qualification of the CAN intensity.
4
Content available remote

Artificial Intelligence and Learning Systems Methods in Supporting Long-Term Acoustic Climate Monitoring

63%
Kłaczyński M., Wszołek T.
Acta Physica Polonica A
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2013
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vol. 123
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issue 6
1024-1028
EN
Developing effective methods for automatic identification of noise sources is currently one of the most important tasks in long-term acoustical climate monitoring of the environment. Manual verification of recorded data, when it comes to proper determination of noise levels, is time-consuming and costly. A possible solution is to use pattern recognition techniques for acoustic signal recorded by a monitoring station. This paper presents usefulness of special directed measurement techniques, acoustic signal processing, and classification methods using artificial intelligence (the Sammon mapping) and learning systems methods (Support Vector Machines) in the recognition of corona audible noise from ultra-high voltage AC transmission lines.
5
Content available remote

Analysis of Polish Pathological Speech by Higher Order Spectrum

63%
Wszołek W., Kłaczyński M.
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issue 1
190-191
EN
This paper presents a next, consecutive stage of the authors' research, concerning the search for additional signal processing methods, which could be used for objective detection and registration of pathological changes in the larynx and vocal tract area. This paper presents pathological speech analyzing by suitably directed higher order spectra analysis (HOSA).
6
Content available remote

Reduction of Speech Signal Deformation in Patients after Nasal Septum Surgery (Septolplasty)

51%
Konior M., Kłaczyński M., Wszołek W.
Acta Physica Polonica A
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2011
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vol. 119
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issue 6A
1000-1004
EN
Nasal blockage belongs to the most common symptoms of nasal diseases in vocal tract area. At the same frequency there appear acoustic symptoms, existing as the change of human voice color. Vocal and articulation disorders of the ear, nose ane throat are usually observed in the form of closed rhinolalia and this observation can be performed both by patients and other listeners as well. Nasal polyps and nasal septum deviation are frequent reason of nasal blockage connected in consequence with decreased nasal ventilation. One of the main principles of the surgical treatment performed in mentioned situations is the restoration of nasal patency. The evaluation of the influence of nasal surgery on intensification of acoustic symptoms depends on verification of parameters of the human speech signal, so it was necessary to apply objective methods. That allowed to combine results of acoustic analysis with patient's subjective feeling and rhinomanometric evaluation of nasal patency. The main purpose of this research was to objectively evaluate the influence of surgical treatment improving nasal patency on deformation of the voice of operated patients.
7
Content available remote

On Certain Problems Concerning Environmental Impact Assessment of Wind Turbines in Scope of Acoustic Effects

51%
Wszołek T., Kłaczyński M., Mleczko D., Ozga A.
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vol. 125
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issue 4A
A-38-A-44
EN
The paper deals with difficulties that are encountered by investors and decision-making authorities in the course of investment processes involving construction of wind power plants. Moreover, attention is focused on absence of standardized procedures that could be used to determine environmental impact of wind turbines, mainly in the scope of acoustic effects appearing in conditions typical for operation of such devices (strong wind), high elevation of related noise sources, and the nature of the sound emission (tonality and amplitude modulation). Lack of such procedures is a source of serious ambiguities developing in assessment of all investment stages - planning and forecasting, construction, and operation. An additional problem arises in the case of power plants located in the vicinity of Natura 2000 area, where construction projects are often obstructed on the grounds of unclear criteria concerning, among other things, the effect of acoustic phenomena on birds, bats, and other animals. It follows from the research presented in this paper that the consistent system of procedures and criteria should be worked out on the grounds of long-term monitoring studies.
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