Prediction of User Request and Complaint in Spoken Customer-Agent Conversations

Understand

We present the corpus called HealthCall.

• This was recorded in real-life conditions in the call center of Malakoff Humanis.
• It includes two separate audio channels, the first one for the customer and the second one for the agent.
• Each conversation was anonymized respecting the General Data Protection Regulation.