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While each voice signature is unique, it's also possible to group collections of voices based on the emotions they elicit.
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Teie wrote four pieces for cello and voice based on the tamarin vocalizations, two "threat-based" and two "affiliative".
"The fact that he finally stepped up with an informed voice, with a powerful voice based on the experiences of his life about war and, particularly, about nuclear weapons, went a long way to make his life worth having been lived," Muller said.
The purpose of this study was to classify objectively breathiness in continuous speech according to a subjective evaluation of voice based on the GRBAS scale.
While morphing, the weighted average of all the parameters from the two source signals (also included other information such as mapping information in time and frequency domains) were used to re-synthesize the voice, based on the source-filter model.
We further divided the "stranger's voice" data into "strangers with voices similar to the listener's own voice" and "strangers with voices dissimilar to the listener's own voice" based on the objective similarity measures, which can be considered to be an extension of the original morphing experiment.
While morphing, the weighted average of all the parameters from the two source signals, which also included mapping information in the time and frequency domains, were used to re-synthesize the voice, based on the source-filter model4 (see Fig. 3 a).
And yesterday, the Vonage iPhone app, which seems to be just as much of an issue as Google Voice based on that quote at the top, got the green light, too.
He stuffed his cheeks to create jowls ("the face of a bull dog," he said with satisfaction, "mean-looking, but warm underneath") and devised a light, unthreatening voice based on tapes of the mobster Frank Costello: real power makes other people lean in to listen.
While self-reported adherence appeared very high in VOICE based on initial reviews by the study team, concerns emerged in 2010, as the empirical evidence and reports from other trials increasingly suggested low actual adherence to daily biomedical prevention products.
Of these 50 participants, 17 participants could be included in the acoustic analysis of voice based on measures of error calculated with the TF32 software.
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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