Speaker Diarization & Role Identification
Automatically identify who spoke when and distinguish between agents and customers in your audio.
Speaker Diarization
Who Spoke When
Accurately segment audio by speaker, identifying when each person starts and stops talking. Handle overlapping speech and multiple participants with ease.
Multi-Speaker Support
Handle conversations with multiple participants. Our AI can distinguish between 2 to 10+ speakers in a single audio file with high accuracy.
Voice Fingerprinting
Create unique voice signatures for each speaker. Track the same speaker across different segments and even across multiple calls.
Timestamped Output
Get precise timestamps for each speaker segment. Perfect for creating searchable transcripts and analyzing conversation flow.
Role Identification
Agent vs Customer
Automatically distinguish between agents and customers in contact center calls. No manual labeling required - our AI learns from conversation patterns.
Context-Aware Detection
Uses linguistic patterns, channel information, and conversation context to accurately identify roles even in complex scenarios.
Custom Roles
Define custom roles beyond agent/customer. Support for supervisors, interpreters, and other participants in multi-party calls.
High Accuracy
Achieve 95%+ accuracy in role identification. Trained on millions of contact center conversations for reliable results.
Use Cases
- •Contact center quality assurance and compliance
- •Agent performance analytics and coaching
- •Customer sentiment analysis by speaker
- •Meeting transcription with speaker labels
- •Conversation intelligence and insights
Ready to identify speakers?
Start analyzing your conversations with speaker diarization and role identification today.