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Voice Over • Elearning
2

Description

Corporate explainer for Aural Analytics

Vocal Characteristics

Language

English (North American)

Voice Age

Middle Aged (35-54)

Transcript

Note: Transcripts are generated using speech recognition software and may contain errors.
talking seems easy, but it actually requires enormous brainpower. Complex networks throughout the brain work together to transform our thoughts and ideas into strings of spoken words. So even subtle changes these intricate neural networks make can change the way we speak analyzing these speech changes. Gives a snapshot of your neurological health. At oral analytics, we've developed a robust AI engine to harness the power of speech analytics. The process is easy and convenient. Short speech samples are collected through an app using any smartphone or tablet. These speech samples automatically upload to a secure cloud server for analysis. We customize our analytics to amplify our clients impact for applications like tracking wellness, early disease detection and progression or documenting benefits of drugs or other interventions. In each case we provide our clients with objective and interpret herbal metrics that sensitively track neurological health. The result better data means better decisions are all analytics, objective measures of brain health.