Real-time Voice Processing for Business Calls

Optimizing AI-Voice for enterprise communication and customer service

🎯 TL;DR - Key Takeaways

  • Sub-200ms latency for real-time business conversations
  • 98% accuracy in Romanian accent recognition and processing
  • Seamless integration with existing PBX and VoIP systems
  • Enables natural business conversations without AI detection

🏢 Business Context

The Problem

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 Competitive Advantage

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

⚙️ Our Approach

🛡️ Proprietary Technology - Core implementation details remain confidential pending patent applications

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 & Metrics

Before
800ms latency, 75% accent accuracy
After
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

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

💼 Business Impact

Product Impact

Core technology powering AI-Voice enterprise communication capabilities

Timeline to Market

Deployed in AI-Voice production (April 2024)

Next Steps

🏷️ Experiment Details

Experiment ID

VPO-2024-003

Duration

April 1, 2024 → April 14, 2024

Status

completed

Research Team

  • • Vladimir Iacob (Technical Lead)
  • • Audio Processing Specialists

Validation Method

Real customer call recordings with blind human evaluation and latency benchmarking

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