Invention Grant
US08856000B1 Model-driven candidate sorting based on audio cues 有权
基于音频提示的模型驱动的候选排序

Model-driven candidate sorting based on audio cues
Abstract:
Methods and systems for model-driven candidate sorting based on audio cues for evaluating digital interviews are described. In one embodiment, a processing device converts audio data of a candidate in a digital interview into voice-to-text data. An audio cue generator executing on the processing device, generates audio cues of the digital interview based on the voice-to-text data. The audio cues are applied to a prediction model to predict an achievement index for the candidate based on the audio cues. The processing device displays the candidate in a list of candidates based on the achievement index. The list of candidates is sorted according to the candidates' achievement index.
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