Based on i-vector analysis, the system effectively examines a speaker's different vocal modes as if these represent different speakers (i.e. your good-voice- ...
ABSTRACT. Voice disorders affect a large portion of the population, in particular impacting heavy voice users such as teachers or call-center workers.
Feb 15, 2021 · We built two systems that automatically differentiate various voice qualities produced by the same individual.
Missing: Variation | Show results with:Variation
Request PDF | On Oct 1, 2019, Chuyao Feng and others published Identification of Voice Quality Variation Using I-Vectors | Find, read and cite all the ...
Two systems that automatically differentiate various voice qualities produced by the same individual are built, one based on i-vectors and the other based ...
Missing: Variation | Show results with:Variation
Jun 1, 2021 · This study aimed to evaluate the effectiveness of the promising i-vector method on a large sample of women with recurrent MDD diagnosed clinically.
Feb 15, 2021 · In this paper, we extracted i-vectors as features to identify intra-speaker voice quality variations using the data described above. The ...
Apr 20, 2021 · It provides a foundation for exploring the clinical application of voice features in diagnosing MDD.
Another promising approach leverages the ivector framework, which combines MFCC-based i-vectors and phonation features to identify the most skilled imitator of ...
Sep 26, 2018 · In this work, we have proposed and assessed the use of voice-quality features (ie, jitter, shimmer, and Glottal-to-Noise Excitation ratio) within the framework ...