Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników

Znaleziono wyników: 3

Liczba wyników na stronie
first rewind previous Strona / 1 next fast forward last
Wyniki wyszukiwania
Wyszukiwano:
w słowach kluczowych:  vocal folds
help Sortuj według:

help Ogranicz wyniki do:
first rewind previous Strona / 1 next fast forward last
EN
A low-dimensional physical model of small-amplitude oscillations of the vocal folds is proposed here. The model is a simplified version of the body-cover one in which mucosal surface wave propagation has been approximated by the seesaw-like oscillation of the vocal fold about its fulcrum point whose position is adjustable in both the horizontal and vertical directions. This approach works for 180 degree phase difference between the glottal entry and exit displacements. The fulcrum point position has a significant role in determining the shape of the glottal flow. The vertical position of the fulcrum point determines the amplitude of the glottal exit displacement, while its horizontal position governs the shape and amplitude of the glottal flow. An increment in its horizontal position leads to an increase in the amplitude of the glottal flow and the time period of the opening and closing phases, as well as a decrease in the time period of the closed phase. The proposed model is validated by comparing its results with the low-dimensional mucosal surface wave propagation model.
2
EN
Glottal waveform models have long been employed in improving the quality of speech synthesis. This paper presents a new approach for modeling the glottal flow. The model is based on three control volumes that strike a one-mass and two-springs system sequentially and generate a glottal pulse. The first, second and third control volumes represent the opening, closing and closed phases of the vocal folds, respectively. The masses of the three control volumes and the size of the first one are the four parameters that define the shape, pitch and amplitude of the glottal pulse. The model may be viewed as parametric approach governed by second order differential equations rather than analytical functions and is very flexible for designing a glottal pulse. The glottal pulse generated by the present model, when compared with those generated by Rosenberg, LF and mucosal wave propagation models demonstrates that it appropriately represents the opening, closing and closed phases of the vocal fold oscillation. This leads to the validity of our model. Numerical solution of the present model has been found to be very efficient as compared to its analytical solution and two other well-known parametric models Rosenberg++ and LF. The accuracy of the numerical solution has been illustrated with the help of analytical solution. It has been observed that the accuracy improves by increasing the size of the first control volume and may decrease insignificantly with increase in the mass of any of the control volumes. Two experiments with the present model support its successful implementation as a voice source in speech synthesis. Thus our model renders itself as an efficient, accurate and realistic choice as a voice source to be employed in real-time speech production.
PL
Celem artykułu jest wprowadzenie do zagadnienia segmentacji i dopasowywania cyfrowych obrazów medycznych 2D i 3D, np. z endoskopii i tomografii komputerowej, oraz krótki przegląd stosowanych metod. Na tym tle zaprezentowano nowe, oryginalne wyniki prac własnych autorów, dotyczących analizy cyfrowych nagrań wideo strun głosowych. Badania te mają na celu estymację parametrów ruchu tych strun dla ludzi zdrowych oraz chorych, np. ze zmianami nowotworowymi. W tym ostatnim przypadku wskazana jest analiza danych wideo przed i po terapii laserowej. W artykule porównano poprzednie wyniki autorów uzyskane dla metody segmentacji metodą poziomic (level sets) z metodą rozrostu obszarów (region growing). W końcowej części pracy zaprezentowano przykład zastosowania dopasowywania danych tomograficznych pacjenta podczas radioterapii zmian nowotworowych.
EN
In the paper introduction to segmentation and registration of medical 2D/3D data, coming from medical endoscopy and computed tomography, is done and a brief description of the most popular methods is presented. On this background, as an example, new original results of vocal folds video analysis are given. In this case evaluation of vocal folds motion parameters for people in good health and sick persons with cancer changes is addressed, especially before and after the laser treatment. In the paper previous segmentation results obtained for level sets methods are compared with application of a region growing approach. Finally, application of registration to computed tomography data before cancer radiotherapy is shown in the paper.
first rewind previous Strona / 1 next fast forward last
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.