Exact(1)
Voice was evaluated using the voice-related quality of life (V-RQOL) questionnaire, perceptual evaluations of voice quality by speech-language pathologists using the GRBAS (grade of hoarseness, roughness, breathiness, asthenia, strain) scale, and acoustic analysis (fundamental frequency, maximal phonation time, and relative average perturbation) using the Visi-Pitch II 3300.
Similar(59)
The quality of the voice is evaluated by an objective perceptual quality evaluation method [24] in a real-time manner.
Both trials, wherein an equal or half weight was established for voice, are evaluated in Tables 3 and 4, respectively.
The influence of asymmetric vocal fold stiffness on voice production was evaluated using life-sized, self-oscillating vocal fold models with an idealized geometry based on the human vocal folds.
Voice quality was evaluated 6 months after surgery using the INFVo rating scale proposed by Moerman et al 11 for substitution voices.
Music boundary detection performance was evaluated for a voice-music mixed data set.
Note that every noise situation was evaluated with four different voices (two male and two female).
Another database of voice recordings of male speakers of Standard Chinese (i.e. Mandarin/Putonghua) was evaluated in this study.
The following voice parameters were evaluated: maximum phonation time (MPT), mean airflow rate (MFR), subglottic pressure (Psub), closed quotient (CQ), irregularity of frequency percentage (CFx), irregularity of amplitude percentage (CAx), average fundamental frequency (F0), noise-to-harmonic ratio (NHR), jitter percentage, and shimmer percentage.
Speech signal processing techniques have provided several contributions to pathologic voice identification, in which healthy and unhealthy voice samples are evaluated.
Voice characteristics were evaluated pretreatment and posttreatment using the CSL Motor Speech Profile (MSP), Unified Spasmodic Dysphonia Rating Scale, and Voice Handicap Index (VHI).
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