Question 1

What is AlzheimerVoice?

Accepted Answer

AlzheimerVoice is the world's first Cognitive Voice Fingerprint (CVF) engine. It detects early signs of Alzheimer's disease by analyzing 85 vocal and linguistic indicators across 9 cognitive domains during natural conversations. It is fully open source under the MIT license and powered by Claude AI.

Question 2

How does the Cognitive Voice Fingerprint work?

Accepted Answer

The Cognitive Voice Fingerprint analyzes natural speech across 9 domains: memory recall, temporal orientation, semantic fluency, syntactic complexity, pragmatic coherence, phonemic stability, lexical diversity, prosodic patterns, and discourse organization. Each conversation produces scores for 85 indicators that track cognitive health over time.

Question 3

Is AlzheimerVoice open source?

Accepted Answer

Yes. AlzheimerVoice is fully open source under the MIT license. All source code is available on GitHub at github.com/remifrancois/cognitivevoicefingerprint.

Question 4

Can AlzheimerVoice detect Alzheimer's early?

Accepted Answer

AlzheimerVoice is designed to identify subtle linguistic drift that research shows can appear 5-10 years before clinical diagnosis. It is a screening and monitoring tool, not a diagnostic device. Results should be discussed with healthcare providers.

Question 5

What languages does AlzheimerVoice support?

Accepted Answer

AlzheimerVoice supports 9 languages: English, Hindi, Spanish, French, Arabic, Bengali, Portuguese, Russian, and Japanese.

Question 6

How does AlzheimerVoice protect voice data privacy?

Accepted Answer

AlzheimerVoice is designed with privacy-by-default. Voice data can be processed entirely locally without transmission to external servers. When cloud processing is used, data is encrypted in transit and at rest and deleted after analysis.