Apparatus and method for automated voice analysis in ACD silent call monitoring

A method and system for automated silent call monitoring in an automatic call distributor (ACD) environment includes configuring (34) a set of call performance profiles which include voice data patterns which are descriptive of voice data transmissions during an ACD call and which are associated wit...

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Hauptverfasser: GHEORGHIU, FLORIN M, BEYDA, WILLIAM, SKRZYNSKI, MARK, SHAFFER, SHMUEL
Format: Patent
Sprache:eng ; fre ; ger
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Zusammenfassung:A method and system for automated silent call monitoring in an automatic call distributor (ACD) environment includes configuring (34) a set of call performance profiles which include voice data patterns which are descriptive of voice data transmissions during an ACD call and which are associated with substandard agent performance. Each voice data pattern has a corresponding threshold which represents the maximum number of detections tolerated in an ACD call prior to execution (50) of a notification routine. A digital signal processor (22) (DSP) monitors (40) a first call between an agent terminal (10) and a customer terminal (12) for the voice data patterns and stores (42) detection data in memory (26) upon detecting of one of the voice data patterns. A central processor unit (30) (CPU) compares the number of detections of the voice patterns within predetermined time intervals to the threshold numbers of detections represented in the thresholds to determine (44) if any threshold has been exceeded. If no thresholds have been exceeded, the DSP continues to monitor for the voice data patterns. If a threshold has been exceeded, the CPU executes the notification routine wherein a supervisor terminal (14) and the agent terminal are notified of the exceeded threshold. A supervisor notification can include an option to establish (52) a direct monitoring session for the first call and an option to transfer (56) the first call to the supervisor terminal. An agent notification preferably includes call performance analysis which provides suggestions for improving call performance which are responsive to the detected voice data patterns.