K-BridgeHealth Technology Architecture

1. Multilingual Acoustic Model

Our acoustic pipeline targets key timing parameters such as average pause duration, articulation rate, and speech rate, as well as vocal dynamics like jitter, shimmer, and prosodic contour shifts. The system is designed to distinguish natural age-related changes from potential cognitive fluctuations.

2. Korean Linguistic Layer

Standard NLP frameworks often fail to account for cultural context. Our linguistic adapter models Korean-specific features, including:

• Honorific level shifts and appropriate conjugation markers.
• Linguistic repair behaviors during bilingual (Korean-English) code-switching.
• Sentence-final particles that carry pragmatic and emotional context.

3. Neuro-Symbolic Fusion

To prevent "black box" AI decisions, we incorporate a neuro-symbolic architecture. This combines data-driven neural network features with structured symbolic logic based on clinical speech guidelines, producing audit logs and explainable summaries for clinicians.

4. Privacy-Preserving Architecture

Data integrity is built into our core framework. We utilize mobile-optimized quantized model inferences and localized processing concepts, preparing for future HIPAA-compliant cloud storage integrations with end-to-end data minimization principles.