What do you mean by financial services
Posted: Mon Jun 28, 2010 12:37 pm
Finding the Meaningful Interactions
Interaction analytics technology is designed to help organizations overcome the resource limitation associated with trying to listen to all the calls. Interaction analytics does this by assisting contact center organizations with locating the meaningful recordings that are worth the time to listen to among the many available. One key technological component used to accomplish that is emotion detection.
Begin with an Emotional Baseline
Without getting too deep into the actual technology, here’s how it works. During the initial portion of the conversation an ‘emotional baseline score’ consisting of the speaker’s pitch, word pacing, volume and other characteristics is calculated. Establishing a baseline at the start of each conversation minimizes the effects of variables like background noise and changes in a person’s voice due to for example, a cold.
Separate Speaker and Agent Audio Tracks
Speaker separation, the ability to separate both sides of a conversation into different audio tracks, is needed for this technology to work well. It provides a valuable ability to associate which side of the conversation was emotional – the customer or the agent in the case of the contact center. Another factor affecting the accuracy of emotion detection is the presence of external audio, such as music on hold, or background noise. Fortunately technologies exist to mask or reduce these types of interference.
Gain Valuable Business Insights
Emotional content provides one valuable piece of the puzzle when looking for recordings that provide valuable business insights. Used in combination with other known aspects of an interaction, it allows interesting recordings to be located with very high precision. In general, the more aspects used the better the results.
Interaction analytics technology is designed to help organizations overcome the resource limitation associated with trying to listen to all the calls. Interaction analytics does this by assisting contact center organizations with locating the meaningful recordings that are worth the time to listen to among the many available. One key technological component used to accomplish that is emotion detection.
Begin with an Emotional Baseline
Without getting too deep into the actual technology, here’s how it works. During the initial portion of the conversation an ‘emotional baseline score’ consisting of the speaker’s pitch, word pacing, volume and other characteristics is calculated. Establishing a baseline at the start of each conversation minimizes the effects of variables like background noise and changes in a person’s voice due to for example, a cold.
Separate Speaker and Agent Audio Tracks
Speaker separation, the ability to separate both sides of a conversation into different audio tracks, is needed for this technology to work well. It provides a valuable ability to associate which side of the conversation was emotional – the customer or the agent in the case of the contact center. Another factor affecting the accuracy of emotion detection is the presence of external audio, such as music on hold, or background noise. Fortunately technologies exist to mask or reduce these types of interference.
Gain Valuable Business Insights
Emotional content provides one valuable piece of the puzzle when looking for recordings that provide valuable business insights. Used in combination with other known aspects of an interaction, it allows interesting recordings to be located with very high precision. In general, the more aspects used the better the results.