Computer-generated feedback of user speech traits meeting subjective criteria
Abstract:
Computer-generated feedback directed to whether user speech input meets subjective criteria is provided through the evaluation of multiple speaking traits. Initially, discrete instances of various multiple speaking traits are detected within the user speech input provided. Such multiple speaking traits include vocal fry, tag questions, uptalk, filler sounds and hedge words. Audio constructs indicative of individual instances of speaking traits are isolated and identified from appropriate samples. Speaking trait detectors then utilize such audio constructs to identify individual instances of speaking traits within the spoken input. The resulting quantities are scored based on reference to predetermined threshold quantities. The individual speaking trait scores are then amalgamated utilizing a weighting that is derived based on empirical relationships between those speaking traits and the criteria for which the user's speech input is being evaluated. Further adjustments thereof can be made by separately, manually weighting the previously determined quantities.
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