✅ Completed #VPO-2024-003

Real-time Voice Processing for Business Calls

Optimizing AI-Voice for enterprise communication and customer service

Real-time Voice Processing for Business Calls

Overview

  • 1 Sub-200ms latency for real-time business conversations
  • 2 98% accuracy in Romanian accent recognition and processing
  • 3 Seamless integration with existing PBX and VoIP systems
  • 4 Enables natural business conversations without AI detection
Experiment ID
VPO-2024-003

The Problem We're Solving

Current Challenge

Existing voice AI solutions have high latency and poor Romanian accent handling, making them unsuitable for professional business communications where natural flow is critical.

Our Advantage

Only voice AI system optimized for Romanian business communication patterns with enterprise-grade latency and integration capabilities.

Our Methodology

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Proprietary Technology - Core implementation details remain confidential

Custom voice processing pipeline with Romanian phonetic optimization, real-time stream processing, and enterprise telephony integration protocols.

Technology Stack

Real-time Audio Processing Romanian Phonetics Enterprise Telephony Stream Processing

Results & Performance

Baseline
800ms latency, 75% accent accuracy
Optimized
180ms latency, 98% accent accuracy
77% latency reduction, 30% accuracy improvement

Key Findings

Key insight: Romanian business speech patterns require different processing than conversational Romanian. Formal vs. informal register affects pronunciation significantly.

Customer Validation

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Enterprise customers report AI-Voice calls are indistinguishable from human agents in 95% of interactions

"

Market Impact

Product Impact

Core technology powering AI-Voice enterprise communication capabilities

Timeline to Market

Deployed in AI-Voice production (April 2024)

Team & Validation

Research Team
Technical Lead
Research Director
2x Software Engineers

What's Next

Next Steps

Validation Method

Real customer call recordings with blind human evaluation and latency benchmarking

Experiment Duration
April 1, 2024 → April 14, 2024
COMPLETED

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