Voice Models & Languages Configuration

Select the perfect AI voice and configure language preferences to create the ideal caller experience for your business. Understanding voice model differences, language options, and performance impacts will help you make the best choices for your AI receptionist. openai realtime voice model

Voice Processing Models

Real-time Voice Models

Real-time models process audio streams continuously, enabling natural conversation flow with minimal latency. OpenAI Realtime API:
  • Latency: 200-400ms end-to-end
  • Technology: Direct audio-to-audio processing
  • Experience: Natural conversation interruptions and overlapping speech
  • Quality: High-quality with optimized real-time performance
  • Best for: Interactive conversations requiring immediate responses

Traditional TTS/STT Models

Traditional models use separate Speech-to-Text and Text-to-Speech processing with AI reasoning in between. Processing Flow:
Caller Speech → STT → AI Processing → TTS → AI Response
   ~200ms      ~500ms    ~300ms     ~400ms
Total: ~1400ms average latency
Advantages:
  • Higher accuracy: More processing time allows for better transcription
  • Better reasoning: AI has full text context for complex decision making
  • Flexibility: Can modify, analyze, and optimize text before speech synthesis
  • Debugging: Full visibility into conversation transcripts
Trade-offs:
  • Higher latency: Multiple processing steps create longer response times
  • Less natural flow: Pauses between caller speech and AI response
  • Interruption handling: More difficult to handle natural conversation overlaps

Technology Comparison

AspectReal-time ModelsTTS/STT Models
End-to-end Latency200-500ms800-1500ms
Conversation FlowNatural, interruptibleTurn-based with pauses
Processing VisibilityLimited (audio-to-audio)Full (complete transcripts)
AccuracyGood (optimized for speed)Excellent (optimized for precision)
Complex ReasoningLimited (real-time constraints)Superior (full context available)
Interruption HandlingNative supportRequires special handling
DebuggingAudio-based onlyFull text-based analysis
CostHigher (specialized models)Lower (standard APIs)

Voice Provider Technologies

Real-time Voice Providers

OpenAI Realtime (Premium):
  • Ultra-low latency conversational AI
  • Native interruption and overlap handling
  • Emotional tone and inflection awareness
  • Direct audio processing without text intermediary
  • Latency: 200-400ms
  • Best for: High-end customer service, complex consultation
ElevenLabs TTS + Deepgram STT:
  • Ultra-realistic AI voices with emotional nuance
  • High-accuracy speech recognition
  • Premium quality with higher processing time
  • Combined Latency: 900-1200ms
  • Best for: High-quality interactions where accuracy is critical
OpenAI TTS + Deepgram STT:
  • Fast, reliable speech processing
  • Good quality with optimized performance
  • Consistent delivery across different content types
  • Combined Latency: 700-1000ms
  • Best for: Balanced quality and performance needs

Accessing Voice & Language Configuration

My Receptionist Pn
  1. Navigate to your Basic Settings dashboard
  2. Select Voice Selection settings
  3. You’ll see options for:
    • Voice model selection
    • Language preferences
    • Regional accent settings
    • Performance optimization options

Voice Model Selection

Available Voice Options

Sarah (ElevenLabs) - Professional Female
  • Characteristics: Clear, authoritative, friendly
  • Best for: Medical practices, legal offices, corporate services
  • Latency: ~800ms
  • Languages: English (US, UK, AU)
Voice Profile: {
  "tone": "Professional yet approachable",
  "speed": "Moderate pace with clear articulation",
  "style": "Business-appropriate warmth"
}
Michael (ElevenLabs) - Professional Male
  • Characteristics: Confident, reassuring, articulate
  • Best for: Financial services, consulting, technical support
  • Latency: ~850ms
  • Languages: English (US, UK)
Emma (OpenAI) - Conversational Female
  • Characteristics: Natural, friendly, efficient
  • Best for: Restaurants, retail, general customer service
  • Latency: ~400ms
  • Languages: Multiple languages supported

Specialized Voices

Isabella (ElevenLabs) - Warm Female
  • Characteristics: Caring, empathetic, gentle
  • Best for: Healthcare, counseling, senior services
  • Latency: ~900ms
  • Languages: English, Spanish
James (Google) - Authoritative Male
  • Characteristics: Deep, commanding, trustworthy
  • Best for: Legal, insurance, high-stakes services
  • Latency: ~600ms
  • Languages: 20+ languages with regional variants
Aria (OpenAI) - Energetic Female
  • Characteristics: Enthusiastic, upbeat, engaging
  • Best for: Entertainment, events, creative services
  • Latency: ~450ms
  • Languages: Multiple languages with emotional range

Troubleshooting Voice Issues

Common Voice Problems

Issue: Voice Sounds Robotic

Symptoms:
  • Monotone delivery
  • Unnatural pauses
  • Lack of emotional variation
  • Mechanical pronunciation
Solutions:
  1. Switch to premium voice models (ElevenLabs)
  2. Add natural punctuation to your content
  3. Use contractions and conversational language
  4. Adjust speaking speed to more natural pace
  5. Enable advanced prosody settings

Issue: High Latency Affecting Conversations

Symptoms:
  • Long pauses before AI responds
  • Callers speaking over the AI
  • Conversation flow interruptions
  • Caller frustration with delays
Solutions:
  1. Switch to lower-latency voice provider (OpenAI)
  2. Enable response streaming
  3. Pre-cache common responses
  4. Optimize text length before voice synthesis
  5. Consider regional voice server selection

Issue: Pronunciation Errors

Symptoms:
  • Business name mispronounced
  • Technical terms spoken incorrectly
  • Names and places pronounced wrong
  • Industry jargon not recognized
Solutions:
  1. Add terms to pronunciation dictionary
  2. Use phonetic spelling in content
  3. Test voice with your specific vocabulary
  4. Configure industry-specific voice models
  5. Provide alternative text representations

Issue: Language Detection Failures

Symptoms:
  • Wrong language selected for caller
  • Mixing languages inappropriately
  • Defaulting to wrong language
  • Confusion in multilingual scenarios
Solutions:
  1. Adjust detection confidence threshold
  2. Add explicit language selection option
  3. Improve greeting language indicators
  4. Test with various accents and dialects
  5. Configure better fallback strategies

Best Practices for Voice & Language

Business Type Recommendations

Healthcare Practices:
  • Voice: Warm, empathetic female voice (Isabella/ElevenLabs)
  • Speed: Slightly slower for complex medical terms
  • Languages: Match patient demographics
  • Accent: Local regional accent for familiarity
Legal Services:
  • Voice: Authoritative, clear male or female (James/Google)
  • Speed: Moderate with clear articulation
  • Languages: Professional language variants
  • Accent: Neutral or prestigious local accent
Restaurants & Hospitality:
  • Voice: Friendly, enthusiastic (Emma/OpenAI)
  • Speed: Natural conversational pace
  • Languages: Local community languages
  • Accent: Welcoming local or neutral
Technical Support:
  • Voice: Clear, patient, knowledgeable
  • Speed: Moderate with technical term emphasis
  • Languages: International English variants
  • Accent: Clear, internationally understood
The right voice and language configuration creates a welcoming, professional experience that builds trust and facilitates successful interactions with your AI receptionist.