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We show that, in a competitive evaluation, voices built using this technology compare favourably to other systems.
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Some well-known perceptual evaluation procedures are the Buffalo Rating Voice Profile [ 2], Consensus Auditory Perceptual Evaluation of Voice (CAPE-V) [ 3], and GRBAS [ 4].
This study was a comparative evaluation of voice recordings by voice professionals and lay observers.
Questions concerned physician comfort level in recognizing an abnormal voice, their view of the quality of life impact of dysphonia, frequency of evaluating patients for voice problems, barriers to the evaluation of voice problems, reasons for referral, and common treatments prior to referral.
This study was aimed at determining the internal and external responsiveness of the Persian version of the Consensus Auditory-Perceptual Evaluation of Voice (called ATSHA), Persian version of the Voice Handicap Index (VHI), and Praat scales among patients with vocal mass lesions and secondary muscle tension dysphonia.
Thus, the most cost-effective means of evaluation of voice disorders remains FO flexible endoscopy for dynamic voice assessment and the neurolaryngologic examination followed by rigid stroboscopy for evaluation of the vocal fold edge and mucosal wave.
We have presented a user study experiment to evaluate an affect-based approach of QoE evaluation in voice communication, which represents a new and unexplored area.
Efforts to evaluate voice have focused on classical acoustic analysis; however, nonlinear dynamic analysis has been shown to be a reliable objective method for the evaluation of voice.
The main purpose of this study was to culturally adapt the Consensus Auditory-Perceptual Evaluation of Voice (CAPE-V) to Turkish and to evaluate its internal consistency, validity, and reliability.
The Consensus Auditory-Perceptual Evaluation of Voice (CAPE-V) was developed.to promote a standardised approach to evaluating and documenting auditory perceptual judgments of vocal quality.
Listening tests are used for evaluation of voice transformation and quality of synthetic speech.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com