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Overview

Maintaining high call quality is essential for successful voice AI operations. Tabbly provides comprehensive tools for monitoring and optimizing call quality.

Latency Metrics and Monitoring

Understanding Latency

What is Latency?
  • Time between speech and response
  • Measured in milliseconds
  • Affects conversation flow
  • Impacts user experience
Types of Latency
  • Network latency
  • Processing latency
  • Response generation latency
  • Total end-to-end latency

Monitoring Latency

Real-Time Monitoring
  • Live latency metrics
  • Dashboard display
  • Alert thresholds
  • Historical tracking
Latency Targets
  • < 500ms: Excellent
  • 500-1000ms: Good
  • 1000-2000ms: Acceptable
  • 2000ms: Needs improvement

Measuring Call Quality

Quality Metrics

Audio Quality
  • Clarity
  • Volume levels
  • Noise levels
  • Echo detection
Conversation Quality
  • Naturalness
  • Understanding accuracy
  • Response appropriateness
  • Overall satisfaction

Quality Scoring

Automated Scoring
  • AI-powered quality assessment
  • Real-time scoring
  • Historical trends
  • Comparative analysis
Manual Review
  • Listen to recordings
  • Review transcripts
  • Rate quality
  • Provide feedback

Network Diagnostics

Diagnostic Tools

Connection Testing
  • Test network connectivity
  • Measure latency
  • Check bandwidth
  • Identify issues
Quality Analysis
  • Audio quality analysis
  • Network quality assessment
  • Problem identification
  • Recommendations

Troubleshooting

Common Issues
  • High latency
  • Poor audio quality
  • Dropped calls
  • Connection problems
Solutions
  • Network optimization
  • Codec adjustments
  • Infrastructure improvements
  • Configuration changes

Optimizing Call Performance

Performance Optimization

Network Optimization
  • Use quality networks
  • Optimize routing
  • Reduce hops
  • Improve infrastructure
System Optimization
  • Optimize agent responses
  • Reduce processing time
  • Improve efficiency
  • Streamline workflows
Configuration Optimization
  • Adjust settings
  • Fine-tune parameters
  • Optimize for quality
  • Balance speed and quality

Handling Poor Network Conditions

Adaptive Quality

Automatic Adjustment
  • Adjust to network conditions
  • Maintain quality when possible
  • Graceful degradation
  • Recovery when improved
Quality Modes
  • High quality (good network)
  • Standard quality (normal network)
  • Reduced quality (poor network)
  • Emergency mode (very poor)

User Experience

Managing Expectations
  • Inform users of issues
  • Provide alternatives
  • Maintain professionalism
  • Recover gracefully

Audio Quality Settings

Audio Configuration

Codec Selection
  • High-quality codecs
  • Bandwidth considerations
  • Quality vs. bandwidth tradeoff
  • Optimal selection
Audio Processing
  • Noise reduction
  • Echo cancellation
  • Volume normalization
  • Quality enhancement

Settings Optimization

Quality Settings
  • Balance quality and bandwidth
  • Optimize for use case
  • Test different settings
  • Monitor results

Echo and Noise Cancellation

Echo Cancellation

What is Echo?
  • Audio feedback
  • Causes poor quality
  • Distracting for users
  • Needs elimination
Cancellation Technology
  • Advanced algorithms
  • Real-time processing
  • Automatic detection
  • Effective removal

Noise Cancellation

Background Noise
  • Reduce background noise
  • Improve clarity
  • Better understanding
  • Enhanced experience
Noise Reduction
  • Filter out noise
  • Preserve speech
  • Maintain quality
  • Real-time processing

Best Practices

Regularly monitor call quality metrics. Catch issues early before they impact users.
Don’t wait for problems. Continuously optimize for better quality and performance.
Test call quality regularly, especially after changes or updates.
Collect user feedback on call quality. Use insights to improve.