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Voice Configuration Overview

Voice configuration determines how your agents sound to callers. Proper voice configuration is essential for creating professional, engaging, and effective voice AI experiences.

Voice Components

Voice Provider

Provider Selection: Choose a voice provider (ElevenLabs, etc.) that matches your quality and cost requirements. Provider Features: Different providers offer different features, voices, and capabilities. Cost Considerations: Balance voice quality with cost based on your needs. Reliability: Choose providers with high reliability and uptime.

Voice Selection

Voice Characteristics: Select voices based on:
  • Gender
  • Age
  • Accent
  • Tone (professional, friendly, casual, etc.)
Brand Alignment: Choose voices that align with your brand identity. Use Case Matching: Match voice characteristics to your use case (sales, support, etc.). Testing: Always test voices on actual phone calls, not just in the dashboard.

Voice Settings

Speaking Speed: Control how fast the agent speaks:
  • Slower speeds (0.8-0.9x) for complex information
  • Normal speeds (1.0x) for standard conversations
  • Faster speeds (1.1-1.2x) for simple confirmations
Voice Stability: Control voice consistency:
  • Higher stability (0.7-0.9) for consistent, professional delivery
  • Lower stability (0.3-0.5) for more natural, varied delivery
Voice Similarity: Control how closely the voice matches the original (if using cloned voices).

Audio Quality

Codec Selection

G.711: Standard telephony codec, widely supported, good quality. G.722: Wideband codec for better audio quality. Opus: Modern codec with excellent quality and efficiency. Automatic Selection: Codecs are typically selected automatically based on network conditions.

Quality Optimization

Network Conditions: Audio quality adapts to network conditions automatically. Bitrate Management: Bitrate is optimized for quality and bandwidth. Echo Cancellation: Built-in echo cancellation improves call quality. Noise Reduction: Noise reduction algorithms enhance audio clarity.

Voice Best Practices

Selection

Match Brand: Choose voices that match your brand personality. Test Thoroughly: Test voices on actual phone calls, not just simulations. Consider Audience: Select voices that resonate with your target audience. Professional Quality: Ensure voices sound professional and clear.

Configuration

Optimize Speed: Adjust speaking speed based on content complexity. Balance Stability: Find the right balance between consistency and naturalness. Test Settings: Test different voice settings to find optimal configuration. Monitor Quality: Continuously monitor voice quality in production.

Content

Clear Scripts: Write clear, natural scripts for agents. Appropriate Tone: Match agent tone to conversation context. Pronunciation: Ensure proper pronunciation of technical terms or names. Pacing: Structure content for natural pacing and pauses.

Advanced Voice Features

Voice Cloning

Custom Voices: Create custom voices using voice cloning technology. Brand Voices: Use brand-specific voices for consistent experience. Personality Voices: Create voices with specific personalities. Quality Requirements: Ensure high-quality source audio for cloning.

Multi-Language Support

Language Selection: Configure different voices for different languages. Accent Selection: Choose appropriate accents for each language. Language Switching: Support language switching during conversations. Cultural Considerations: Consider cultural preferences for voice characteristics.

Dynamic Voice

Context-Aware: Adjust voice characteristics based on conversation context. Emotion Expression: Express emotions appropriately through voice. Emphasis: Use voice emphasis to highlight important information. Natural Variation: Add natural variation to avoid robotic sound.

Quality Monitoring

Metrics

Audio Quality: Monitor audio quality metrics (MOS scores, etc.). User Feedback: Collect feedback about voice quality from users. Technical Metrics: Track technical metrics like latency and packet loss. Subjective Quality: Assess subjective quality through testing and feedback.

Optimization

Continuous Improvement: Continuously improve voice configuration based on feedback. A/B Testing: Test different voice configurations to find what works best. Quality Analysis: Analyze call recordings to assess voice quality. Iterative Refinement: Refine voice settings iteratively based on data.

Troubleshooting

Common Issues

Poor Audio Quality: Check network conditions, codec settings, and provider quality. Robotic Sound: Adjust voice stability and add natural variation. Unclear Speech: Optimize speaking speed and ensure clear pronunciation. Echo or Feedback: Check echo cancellation settings and network quality.

Debugging

Call Recordings: Review call recordings to identify quality issues. Network Diagnostics: Check network connectivity and quality. Provider Support: Contact voice provider support for technical issues. Configuration Review: Verify all voice configuration settings are correct.

Next Steps

API Reference

Explore the API reference for programmatic access to Freyavoice AI.