---
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title: >-
  Contact Center Voice AI: Low-Latency Intelligence Extraction from Messy Audio
  Streams — Dippu Singh
description: >-
  "Processing real-time voice data is an engineering minefield of latency,
  accents, and interruptions. This session explores the architecture of a
  Real-Time Voice Intelligence Pipeline deployed in a high-volume contact
  center. We will move beyond simple transcription to discuss Structured Intent
  Extraction. I will show you how to design: 1. Voice Capture Pipeline: The
  entry point for clean, multi-channel data acquisition. 2. Speech-To-Text(STT)
  Engine: Converting speech to accurate text. 3. Generative AI Core Structure:
  Using rigorous system prompts to force the LLM to separate ""Customer Intent""
  from ""Operator Chit-Chat"" and output valid JSON, even from garbled
  transcripts. 4. Customer Data Sync: Translating AI insights into enterprise
  system actions. We reduced post-call work by 50% by shifting compute from
  ""batch"" to ""stream."" Speaker: Dippu Kumar Singh - Leader Of Emerging
  Technologies (Apps), Fujitsu North America Inc. Dippu Kumar Singh has over 16
  years of experience at the intersection of industry innovation and advanced
  research. He is a recognized authority in building scalable, trustworthy, and
  commercially viable AI systems. Being a Leader for Emerging Data & Analytics
  at Fujitsu North America, Dippu specializes in bridging the gap between
  theoretical AI concepts and enterprise-grade implementation. His strategic
  leadership has spearheaded multi-million in sales pipelines and delivered
  remarkable savings through AI-driven optimizations in transportation,
  manufacturing, utilities, and supply chain logistics. Socials:
  https://www.linkedin.com/in/dippukumarsingh/ Slides:
  https://docs.google.com/presentation/d/1f2y1s64irhdDNTRgK6bWrBtOgMWlhQYM/edit?usp=sharing&ouid=107532212133041789455&rtpof=true&sd=true"
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markdown: >-
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updated: '2026-10-24T15:31:40.118Z'
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# Contact Center Voice AI: Low-Latency Intelligence Extraction from Messy Audio Streams — Dippu Singh

"Processing real-time voice data is an engineering minefield of latency, accents, and interruptions. This session explores the architecture of a Real-Time Voice Intelligence Pipeline deployed in a high-volume contact center. We will move beyond simple transcription to discuss Structured Intent Extraction. I will show you how to design: 1. Voice Capture Pipeline: The entry point for clean, multi-channel data acquisition. 2. Speech-To-Text(STT) Engine: Converting speech to accurate text. 3. Generative AI Core Structure: Using rigorous system prompts to force the LLM to separate ""Customer Intent"" from ""Operator Chit-Chat"" and output valid JSON, even from garbled transcripts. 4. Customer Data Sync: Translating AI insights into enterprise system actions. We reduced post-call work by 50% by shifting compute from ""batch"" to ""stream."" Speaker: Dippu Kumar Singh - Leader Of Emerging Technologies (Apps), Fujitsu North America Inc. Dippu Kumar Singh has over 16 years of experience at the intersection of industry innovation and advanced research. He is a recognized authority in building scalable, trustworthy, and commercially viable AI systems. Being a Leader for Emerging Data & Analytics at Fujitsu North America, Dippu specializes in bridging the gap between theoretical AI concepts and enterprise-grade implementation. His strategic leadership has spearheaded multi-million in sales pipelines and delivered remarkable savings through AI-driven optimizations in transportation, manufacturing, utilities, and supply chain logistics. Socials: https://www.linkedin.com/in/dippukumarsingh/ Slides: https://docs.google.com/presentation/d/1f2y1s64irhdDNTRgK6bWrBtOgMWlhQYM/edit?usp=sharing\&ouid=107532212133041789455\&rtpof=true\&sd=true"

Canonical: https://liquidgold.cc/channel/aidotengineer/explore/video/contact-center-voice-ai-low-latency-intelligence-ex-af1940e66f39 · Channel: [AI Engineer](https://liquidgold.cc/channel/aidotengineer.md)

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