🏆 1st Place ElevenLabs Hackathon – $20,000🚀 EBRD Star Venture Program🥈 2nd Place Sevan Startup Summit🚀 Google Cloud $25K Grant
Kallina AI
RO
Kallina Voice AI

Latency Optimization

Optimizare latență pentru conversații naturale și responsive.

Speed = Natural Conversation

Latența peste 300ms face conversația să se simtă nenaturală. Ținta: sub 200ms end-to-end pentru experiență seamless.

Latency Breakdown

Network (caller)
~30ms
Audio capture
~20ms
STT processing
~50ms
LLM response
~60ms
TTS synthesis
~30ms
Network (return)
~30ms
Total End-to-End Latency~220ms

Optimization Techniques

🌐 Network Layer

  • ✓ Edge deployment (PoP near users)
  • ✓ Direct peering with carriers
  • ✓ UDP for media (not TCP)
  • ✓ Minimize hops
  • ✓ Geographic load balancing

🎤 Audio Layer

  • ✓ Small audio frames (20ms)
  • ✓ Adaptive jitter buffer
  • ✓ Early packet processing
  • ✓ Streaming STT (not batch)
  • ✓ Streaming TTS output

🧠 AI Layer

  • ✓ Streaming LLM responses
  • ✓ Speculative execution
  • ✓ Model quantization
  • ✓ GPU acceleration
  • ✓ Parallel processing

⚙️ Infrastructure

  • ✓ Connection pooling
  • ✓ Warm containers
  • ✓ In-memory caching
  • ✓ Async operations
  • ✓ Zero-copy audio

Streaming Architecture

// Streaming pipeline - process audio as it arrives
async function processAudioStream(audioStream) {
  // Stream 1: Audio → STT (streaming)
  const transcriptStream = stt.streamingRecognize(audioStream);

  // Stream 2: Transcript → LLM (streaming)
  const responseStream = llm.streamCompletion(transcriptStream);

  // Stream 3: Response → TTS (streaming)
  const audioResponse = tts.streamSynthesize(responseStream);

  // Start playing audio as soon as first chunk ready
  // Don't wait for full response!
  return audioResponse;
}

// Result: User hears response starting ~150ms after speaking
// vs ~800ms+ with batch processing

❌ Batch Processing

Wait for user to finish → Process all → Return all

~800ms+ latency

✓ Stream Processing

Process chunks as they arrive → Return immediately

~150ms latency

Edge Deployment

Global PoP Locations

București
12ms
Frankfurt
25ms
Amsterdam
28ms
London
32ms
Paris
30ms
Warsaw
22ms

Voice AI processing runs at nearest PoP to minimize round-trip time.

Jitter Buffer Tuning

Static Buffer

Fixed delay, predictable but may be too much or too little.

Buffer size:60ms (fixed)
Added latency:60ms (constant)

Adaptive Buffer (Recommended)

Adjusts based on network conditions. Lower latency on good networks.

Min buffer:20ms
Max buffer:200ms
Current (avg):35ms

Latency Monitoring

142ms
P50 Latency
198ms
P95 Latency
287ms
P99 Latency
94%
<200ms Target

Latency Impact on Experience

<150ms
Excellent

Feels like real-time, natural conversation

150-200ms
Good

Slight delay, still comfortable

200-300ms
Acceptable

Noticeable delay, may cause interruptions

>300ms
Poor

Frustrating, users talk over each other

Real-Time Voice AI

Latency optimization pentru conversații naturale.

Vezi Demo →
Începe Astăzi

Transformă Comunicarea cu Clienții

Agenți vocali AI care răspund 24/7 în română și rusă. Implementare în 2 săptămâni, fără infrastructură specială.

Setup în 24 oreSuport dedicatGDPR compliant

Rămâi la curent

Obține cele mai recente știri despre tehnologia de apelare AI și actualizările platformei

Made with ♡ by Kallina AI Team — 2025