发明授权
US08751231B1 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
摘要:
Methods and systems for model-driven candidate sorting based on audio cues for evaluating digital interviews are described. In one embodiment, an audio cue generator identifies utterances in audio data of a digital interview. The utterances each include a group of one or more words spoken by a candidate in the digital interview. The audio cue generator generates audio cues of the digital interview based on the identified utterances. The audio cues are applies to a prediction model to predict an achievement index for the candidate based on the audio cues. The candidate is displayed 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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