Categories
AI, backend, app, infrastructure, and security
You cannot trust a model on a single accuracy number. We lay out the essentials of validation, from data splitting, speaker generalization, and leakage prevention to false positives, fairness, and real-world robustness.
Voice is sensitive information. How do you obtain consent, how do you de-identify, and who gets access? We lay out the basic principles of research ethics and data security.
Raw audio passes through several stages before it becomes a meaningful signal. We lay out the role and trade-offs of each stage, from capture to preprocessing, feature extraction, and modeling.
How a single short voice check-in leads to personal self-understanding and organization-level signals. We lay out the full path the data travels, at the level of principle.
