Description
| - The main aim of this study was to evaluate the change of the voice training of drama acting students (8 females and 9 males). For all students were made acoustical recordings of their speaking voice and speaking phonetogram measure in the beginning and at the end of the training (after 18 month). The recordings consisted of reading standard text in habitual voice, aloud normal voice and in “stage- like” voice with normal loudness and aloud. The recordings were analyzed by software ParVRP (in MATLAB), that provide analysis of these parameters: parameters of speaking range profile (SRP) – pitch and SPL, their mean, median, modus values and dynamic and tone ranges; parameters of long time average spectra in third octave bandwidth, whole LTAS spectral tilt and LTA spectral tilt of 400-4000 Hz bandwidth. Additional spectral parameters: level difference between first and second harmonics; spectral centroids of whole spectra and bandwidth: 0-2.5 kHz and 2-5 kHz; spectral balance parameters: SPI, VTI, ER, SPR, alpha ratio; formant positions (from LPC): F1, F2, F3, F4, F5; and parameters of multidimensional analysis: PFR, Jita, Jitt, ShdB, Shim, MAJ, RAP, PPQ, vF0. Values of given “speaking” parameters were statistically analyzed by paired student t-test before and after voice training separately for males and females group. The results show that vocal training statistically increased the loudness of voice, although, the voice pitch did not change. After training significantly lowered the positions of F2, F3, F4, decreased values of spectral tilt parameters and spectral centroids. Results indicated the change in voice properties “darkness” or “dullness”. Parameters of MDVA significantly changed only in decreasing of Shimmer that means improvement in an amplitude stability of voice.
- The main aim of this study was to evaluate the change of the voice training of drama acting students (8 females and 9 males). For all students were made acoustical recordings of their speaking voice and speaking phonetogram measure in the beginning and at the end of the training (after 18 month). The recordings consisted of reading standard text in habitual voice, aloud normal voice and in “stage- like” voice with normal loudness and aloud. The recordings were analyzed by software ParVRP (in MATLAB), that provide analysis of these parameters: parameters of speaking range profile (SRP) – pitch and SPL, their mean, median, modus values and dynamic and tone ranges; parameters of long time average spectra in third octave bandwidth, whole LTAS spectral tilt and LTA spectral tilt of 400-4000 Hz bandwidth. Additional spectral parameters: level difference between first and second harmonics; spectral centroids of whole spectra and bandwidth: 0-2.5 kHz and 2-5 kHz; spectral balance parameters: SPI, VTI, ER, SPR, alpha ratio; formant positions (from LPC): F1, F2, F3, F4, F5; and parameters of multidimensional analysis: PFR, Jita, Jitt, ShdB, Shim, MAJ, RAP, PPQ, vF0. Values of given “speaking” parameters were statistically analyzed by paired student t-test before and after voice training separately for males and females group. The results show that vocal training statistically increased the loudness of voice, although, the voice pitch did not change. After training significantly lowered the positions of F2, F3, F4, decreased values of spectral tilt parameters and spectral centroids. Results indicated the change in voice properties “darkness” or “dullness”. Parameters of MDVA significantly changed only in decreasing of Shimmer that means improvement in an amplitude stability of voice. (en)
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