Glossary

Dual-Channel Audio

Dual-channel audio records two speakers or sides of a conversation on separate tracks, such as an agent and a customer in a call center. This separation makes it easier to train ASR, speaker diarization, conversation analytics, and voice AI systems.

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Why Dual Channels Matter

When speakers are separated, models can learn turn-taking, speaker roles, interruptions, and customer-agent behavior more reliably than from mixed single-channel audio.

Cleaner diarization labels
Better role-aware transcription
More useful conversation analytics

Common AI Use Cases

Dual-channel audio is valuable for speech recognition, customer-support AI, QA automation, voice agents, and multilingual speech analytics.

ASR fine-tuning
Speaker diarization
Conversational voice AI