Comparison between long-time-average-spectra of the voice and the sonagraphic degree of hoarseness according to Yanagiharaʼs classification

1984 ◽  
Vol 7 (1) ◽  
pp. 73 ◽  
Author(s):  
P. H. Dejonckere
Keyword(s):  
Long Time ◽  
Time Average ◽  
The Voice

Teflon Injection in 16 Patients with Paralytic Dysphonia

1984 ◽  
Vol 49 (1) ◽  
pp. 72-82 ◽  
Author(s):  
Britta Hammarberg ◽  
Björn Fritzell ◽  
Helge Schiratzki
Keyword(s):  
Perturbation Analysis ◽  
Vocal Fold ◽  
Distribution Analysis ◽  
Point Scale ◽  
Acoustic Data ◽  
Perceptual Evaluation ◽  
Average Spectrum ◽  
Long Time ◽  
Time Average ◽  
The Voice

Sixteen patients with paralytic dysphonia were treated with Teflon injection in the paralyzed vocal fold. Trained voice pathologists rated the pre- and postinjection voices on a 5-point scale for each of 11 voice characteristics. Among these, aphonia, breathiness, and hypofunction diminished significantly after injection. The perceptual evaluation was correlated with acoustic data from long-time-average spectrum analysis, fundamental frequency distribution analysis, and waveform perturbation analysis. In this acoustic assessment, systematic changes were found in the long-time-average spectra, which agreed well with the perceptual data. In 12 of 16 patients the voice was both perceptually and acoustically improved after Teflon injection.

Optimal Selection of Long Time Acoustic Features Using GA for the Assessment of Vocal Fold Disorders

2012 ◽  
Vol 239-240 ◽  
pp. 65-70 ◽  
Author(s):  
Sindhu Ravindran ◽  
Neoh Siew-Chin ◽  
Hariharan Muthusamy
Keyword(s):  
Vocal Fold ◽  
Acoustic Analysis ◽  
Feature Reduction ◽  
Optimal Selection ◽  
Acoustical Parameters ◽  
Long Time ◽  
Minimum Number ◽  
Reduction Methods ◽  
The Voice ◽  
Selection Of

In recent times, vocal fold problems have been increasing dramatically due to unhealthy social habits and voice abuse. Non-invasive methods like acoustic analysis of voice signals can be used to investigate such problems. Various feature extraction techniques are used to classify the voice signals into normal and pathological. Among them, long-time acoustical parameters are used by many researchers. The selection of best long-time acoustical parameters is very important to reduce the computational complexity, as well as to achieve better accuracy with minimum number of features. In order to select best long-time acoustical parameters, different feature reduction methods or feature selection methods are proposed by researchers. In this work, genetic algorithm (GA) based optimal selection of long-time acoustical parameters is proposed to achieve higher accuracy with minimum number of features. The classification is carried out using k-nearest neighbourhood (k-NN) classifier. In comparison with other works in the literature, the simulation results show that a minimum of 5 features are required to classify the voice signals by GA and a better accuracy of 94.29% is achieved.

PARTICIPATION OF TAMBOV CLERGY IN PARLIAMENTARY ELECTION AND STATE DUMA ACTIVITY OF 1–4 CONVOCATIONS (1906–1917)

2018 ◽  
pp. 171-180
Author(s):  
Viktor LISYUNIN
Keyword(s):  
Poor People ◽  
Parliamentary Election ◽  
General Strategy ◽  
Orthodox Church ◽  
Russian Orthodox Church ◽  
Local Council ◽  
Election Process ◽  
Long Time ◽  
The Voice ◽  
The Church

The analysis of participation of Orthodox clergy in the election process and State Duma activity of 1–4 convocations (1906–1917), and also attitude of the Russian Orthodox Church to carried out state reforms are presented. On a reasonable basis it is proved that general strategy of participation of clergy in parliamentary activities was planned at Tambov clergy congress in January of 1905 and it was resolved into following statements: peaceful progress, reforms without violence, preservation of dominating role of Orthodox Church with simultaneous liberation from state patronage, economic protection of poor people and laboring classes, development of education in Orthodox direction. The clergy had certain expectations towards activity of State Duma of 1 and 2 convocations, while during 3 and 4 convocations the voice of Tambov Eparchy representatives was unnoticed. Two deputies from Tambov clergy, priests P.F. Vozdvizhenskiy and M.F. Lachinov supported the authorities. Their inactivity is explained as the political inertia, and also it stood for objective reasons: village priest could not leave his parish for a long time. Among deputies there were representatives of Tambov clergy: metropolite of St. Petersburg and Ladoga Vladimir (Bogoyavlenskiy), synodical curator of missionary fellowships of the Tambov Eparchy I.G. Ayvazov, editor of the journal “The Voice of the Church” A.M. Spasskiy, former lecturer of Tambov Seminary. The evaluation is given to complicated relations between the church and the state, the result of which was the change of the Holy Synod body due to the initiative of chief procurator V.N. Lvov and Local Council of 1917–1918, in the work of which representatives of the Tambov Eparchy took part actively.

scholarly journals Application of Subspace-Based Detection Algorithm to Infrasound Signals in Volcanic Areas

2021 ◽  
Vol 8 ◽  
Author(s):  
Mariangela Sciotto ◽  
Placido Montalto
Keyword(s):  
Cross Correlation ◽  
Confusion Matrix ◽  
Detection Threshold ◽  
Detection Algorithm ◽  
Volcano Monitoring ◽  
Signal Subspace ◽  
Long Time ◽  
Time Average ◽  
Short Time ◽  
Correlation Detector

Infrasonic signals investigation plays a fundamental role for both volcano monitoring purpose and the study of the explosion dynamics. Proper and reliable detection of weak signals is a critical issue in active volcano monitoring. In particular, in volcanic acoustics, it has direct consequences in pinpointing the real number of generated events (amplitude transients), especially when they exhibit low amplitude, are close in time to each other, and/or multiple sources exist. To accomplish this task, several algorithms have been proposed in literature; in particular, to overcome limitations of classical approaches such as short-time average/long-time average and cross-correlation detector, in this paper a subspace-based detection technique has been implemented. Results obtained by applying subspace detector on real infrasound data highlight that this method allows sensitive detection of lower energy events. This method is based on a projection of a sliding window of signal buffer onto a signal subspace that spans a collection of reference signals, representing similar waveforms from a particular infrasound source. A critical point is related to subspace design. Here, an empirical procedure has been applied to build the signal subspace from a set of reference waveforms (templates). In addition, in order to determine detectors parameters, such as subspace dimension and detection threshold, even in presence of overlapped noise such as infrasonic tremor, a statistical analysis of noise has been carried out. Finally, the subspace detector reliability and performance, have been assessed by performing a comparison among subspace approach, cross-correlation detector and short-time average/long-time average detector. The obtained confusion matrix and extrapolated performance indices have demonstrated the potentiality, the advantages and drawbacks of the subspace method in tracking volcanic activity producing infrasound events. This method revealed to be a good compromise in detecting low-energy and very close in time events recorded during Strombolian activity.

scholarly journals BELARUS

2020 ◽  
pp. 208-215
Author(s):  
T. Aronova ◽  
G. Aronov ◽  
T. Protasovitskaya ◽  
V. Aronov
Keyword(s):  
Seismic Event ◽  
Seismic Energy ◽  
Mining Area ◽  
Activity Level ◽  
Seismic Events ◽  
Average Value ◽  
Long Time ◽  
Event Distribution ◽  
Time Average ◽  
Seismicity Analysis

. The review of annual seismicity in the territory of Belarus based on the data of two analog and seventeen digital stations is presented. 57 events with Кd=4.6–8.8 are recorded, all of them are located in the southern part of the territory, including the Soligorsk mining area. The maximum seismic energy released in March, August, October and November. The maximum number of earthquakes was observed from July to August and from October to November. The N(K) andΣE functions in 2014 were compared with those within 1983–2013. The number of events in 2014 is 1.34 times more than its average value for previous 31 years. The level of the seismic energy released in 2014 is 2.43 times more than in 2013 and 2.05 times lower than its long-time average value. The distributionof earthquakes by depth intervals showed that the earthquake foci are mostly located in the upper 20 km part of the Earth’s crust. However, the foci of 47 earthquakes are located at depths below 10 km. A slope of the graph showing the recurrence of the events with representative energy classes Кd=6–8 in 2014 was calculated. Its modulus γ=|0.48| is lower than the value γ=|0.5| in 2013. The distribution of all the events in 2014 is represented in real time. Quiet seismic periods and seismic activation periods were determined. The distribution of the seismic events by the hourly intervals showed the periods of the daytime and nighttime increase of the seismic event number. The maximum and minimum values N in the seismic event distribution by the days of the week were determined. The seismicity analysis has shown that the seismic activity level in 2014 was higher than that in 2013, but lower than its long-time average value.

Long-time Average of Field Measured by a Two-Dimensional Brownian Wanderer

2003 ◽  
Vol 72 (10) ◽  
pp. 2481-2496 ◽  
Author(s):  
Hiroshi Ezawa ◽  
Toru Nakamura ◽  
Keiji Watanabe ◽  
Frederik W. Wiegel
Keyword(s):  
Two Dimensional ◽  
Long Time ◽  
Time Average
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