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AI-Powered Multi-Speaker Call Transcription and Analysis Platform
  1. case
  2. AI-Powered Multi-Speaker Call Transcription and Analysis Platform

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AI-Powered Multi-Speaker Call Transcription and Analysis Platform

exposit.com
Business services
Information technology

Communication Efficiency Challenges in Service Industry Work Calls

Professionals in service industries face significant productivity losses due to the need to manually document work calls. Simultaneous note-taking during virtual meetings (e.g., Zoom calls) creates cognitive overload, reduces focus on critical discussions, and risks missing important details like deadlines, locations, and personnel assignments.

About the Client

A technology solutions provider specializing in AI-driven communication tools for service-oriented businesses

Project Objectives for AI-Powered Call Transcription

  • Develop a proof-of-concept system for automated call transcription with speaker identification
  • Create a solution that extracts and organizes key entities (dates, locations, names) from conversations
  • Implement a user-friendly interface for accessing timestamped transcripts
  • Optimize system performance for multi-speaker environments (up to 20 participants)

Core System Functionalities

  • Voice Activity Detection (VAD) for noise filtering
  • Speaker diarization with up to 20-person recognition
  • Real-time speech-to-text transcription with punctuation
  • Named Entity Recognition (NER) for critical information extraction
  • Timestamped transcript export with speaker labels

Preferred Technology Stack

NVIDIA NeMo
pyannote
Streamlit
HuggingFace

Required System Integrations

  • Zoom API
  • Microsoft Teams
  • Slack
  • Google Meet

Critical Performance Requirements

  • Support for concurrent processing of multiple audio streams
  • 95%+ transcription accuracy under varying audio conditions
  • Real-time processing latency under 500ms
  • Data encryption for sensitive conversation content

Business Impact of Automated Call Transcription

The solution will enable service industry professionals to maintain full conversational focus while automatically capturing critical information. By reducing documentation burdens and improving information retention, organizations can expect enhanced decision-making quality, reduced operational errors, and optimized meeting efficiency through structured post-call analysis.

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