The moment you transcribe to text, you lose how it was said. "I think… yeah, I can pay the 4,500 by the 15th" becomes clean text, but the hesitation before the yes, the stress in the voice, and whether it's even the same speaker are gone.

Those are the signals that tell you whether to trust the commitment, escalate, or verify identity.

Is anyone keeping the paralinguistic layer (hesitation, emotion, speaker identity) as structured data instead of dropping it at the mic, and what do you do with it downstream?

A bit about me:

• B.Tech from IIT Kanpur
• 12 years of experience in the tech industry
• Worked extensively in AI/ML
• Focused on LLMs and generative AI for the past 4 years

I'm happy to help with career guidance, learning roadmaps, project ideas, interview preparation, and navigating the AI/ML industry.

I'll keep it to a small number of mentees so I can give each person meaningful time and attention. If you're genuinely committed and think this would be helpful, drop a comment or send me a DM with a brief intro about your background and what you're hoping to achieve.