Singing voice acoustic and perceptual properties have been studied since Ancient Greek times, mainly by Aristotle, Aristoxenus and Dionysius of Halicarnassus, and subsequently by Porphyrios, Nicomachus, and Cleonides. Singing is the result of certain neuromuscular functions pertaining to the vocal mechanism of the human body. Study results suggest potential for the use of a completed system version in vocal pedagogy and research, as the case study indicated system practicality, a number of pertinent correlations, and introduced topics with further research possibilities. The model combination of ABI and the proposed CDH appeared to yield the highest correlation with perceptual breathiness ratings. Models studied were the Acoustic Breathiness Index (ABI) and the proposed multiple regression model CDH (CPPS, DOQ, and HOQ), which was attempted in order to combine analysis results from microphone and EGG signals. The study of multi-variate models revealed even higher correlation coefficients. Interestingly, the correlation coefficient of pitch difference between estimates from CM and EGG signals appeared to be (based on the Pearson correlation coefficient) statistically insignificant (a result that warrants investigation in larger populations). DECOM method-computed OQ (DOQ) was also examined. Smoothed Cepstral Peak Prominence (CPPS) and vocal folds’ Open Quotient (OQ), as computed with the Howard method (HOQ), demonstrated the higher correlation coefficients, when analyzed individually. Microphone audio samples breathiness degree was rated perceptually, and correlation analysis was performed between sample ratings and parameters extracted from CM and EGG data. Participants’ individual respiratory management strategies were studied through qualitative analysis of RET data. Their (i) vocal output, (ii) phonatory function, and (iii) respiratory behavior-per-condition were recorded through a condenser microphone (CM), an Electroglottograph (EGG), and thoracic and abdominal respiratory effort transducers (RET), respectively. Participants sung a protocol of vocal trials in various degrees of intended vocal breathiness.
#Praat voice analysis professional
A system case study with two professional singers was conducted, utilizing signals from four sensors. In this work, we present the initial design of a modular multi-sensor system for singing voice analysis, and describe its first assessment experiment on the ‘vocal breathiness’ qualitative characteristic. This is directly relevant to vocal education, rehabilitation, and prevention of vocal health issues in educators professionals and students of singing, music, and acting. The use of multi-sensor systems can facilitate the study of correlations between the vocal mechanism kinetic functions and the voice output. Singing voice is a human quality that requires the precise coordination of numerous kinetic functions and results in a perceptually variable auditory outcome.
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