PodChats for FutureCIO: Demystifying layered voice analytics episode artwork

EPISODE · Jun 1, 2022 · 16 MIN

PodChats for FutureCIO: Demystifying layered voice analytics

from CXOInsights by CXOCIETY · host CXOCIETY | FutureCIO FutureCFO FutureIoT

“According to research, face-to-face communication is conveyed with 55% non-verbal, 38% vocal, and only 7% words in the words spoken.” – Albert Mehrabian, Prof. Psychology and a researcher of body language.In the paper, Stress and Deception in Speech: Evaluating Layered Voice Analysis, the authors posit that human oral communication contains features, which can be used to provide useful information about a speaker apart from the linguistic content, or meaning, of what was said, and that this indexical information can prove exceedingly helpful in forensic work.In today’s PodChats for FutureCIO, we are joined by James Ellender, CEO, Behavioural Cues to talk about use cases for layered voice analysis or analytics.James, welcome back to PodChats for FutureCIO.1.       Define layered voice analysis (LVA)? How does it work?2.       In what areas of business is LVA being applied today?3.       If an organisation intends to apply layered voice analysis, what technologies or processes need to be introduced? What expertise is needed to make LVA investment effective?4.       What are the integration challenges that come with LVA? 5.       Any potential issues on privacy?6.       How does an organisation determine if LVA is what they really need?

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“According to research, face-to-face communication is conveyed with 55% non-verbal, 38% vocal, and only 7% words in the words spoken.” – Albert Mehrabian, Prof. Psychology and a researcher of body language. In the paper, Stress and Deception in Speech: Evaluating Layered Voice Analysis, the authors posit that human oral communication contains features, which can be used to provide useful information about a speaker apart from the linguistic content, or meaning, of what was said, and that this...

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PodChats for FutureCIO: Demystifying layered voice analytics

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