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speech-processing

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papersTODAY 04:00 UTC

Audio encoders detect managerial evasiveness in earnings calls

A new arXiv preprint presents an approach that uses conversational audio encoders to spot evasive language from managers during earnings conference calls. Rather than aggregating vocal and lexical features across an entire call, the method analyzes the conversational dynamics between analysts and executives. Prior research has tied such cues to later negative outcomes for firms, and this work aims to capture them more precisely.

papersSEP 12 04:00 UTC

Ablation Study Examines Which Speech Cues Drive End-of-Turn Detection

A new arXiv paper investigates how much different aspects of speech contribute to detecting when a speaker has finished their turn in a conversation. The authors run a controlled ablation of a conversational system to separate the relative weight of each modality, noting that the role of semantics versus other cues is still poorly understood. The work targets more natural turn-taking in conversational AI.