The ASR Privacy Paradox
ASR systems need training data. Training data contains sensitive audio. How federated learning solves the conflict between ML requirements and privacy laws....
Speaker Diarization: The Hardest Problem Nobody Talks About
Why Zoom transcripts attribute quotes to the wrong people. The cocktail party problem isn't solved - it's hidden. Multi-device synchronization as a workaround....
Voice to Context to Action: An Operational Framework
From voice to context to action: an operational framework for voice AI that does more than transcribe — it understands and acts....
Why Voice AI Demos Always Work (And Production Never Does)
Voice AI demos work perfectly. Production deployments fail. After a decade building speech systems, here's why the gap exists and how to bridge it....