Ser Solutions, Inc.

Siemens Enterprise Communications, Inc.

Lawrence P Mark

Robert Scarano

Geoffrey J Giordano

Kori Lambert

Paul Zmuda

A system and method provide an audio analysis intelligence tool with ad-hoc search capabilities using spoken words as an organized data form. An SQL-like interface is used to process and search audio data and combine it with other traditional data forms to enhance searching of audio segments to identify those audio segments satisfying minimum confidence levels for a match.

Methods and apparatus for audio data analysis and data mining using speech recognition

A system and method according to the present invention automates call monitoring activities to evaluate and directly improve agent-customer interactions. Rather than listening to an entire call or monitoring only a small fraction of all the calls made in the contact center, the system performs highly accurate, automated evaluations of all customer interactions. By automating the time-consuming aspect of monitoring calls, the system empowers contact center operators to address quality issues, more accurately measure, coach and reward agents, and identify business-critical trends.

System for and method of automated quality monitoring

The present invention provides an audio analysis intelligence tool that provides ad-hoc search capabilities using spoken words as an organized data form. The present invention provides an SQL like interface to process and search audio data and combine it with other traditional data forms.

The present invention relates to audio data monitoring using speech recognition technology. In particular, the present invention uses business rules combined with unrestricted, natural speech recognition to monitor conversations in a customer interaction environment, literally transforming the spoken word to a retrievable data form. Implemented using the VorTecs Integration Platform (VIP), a flexible Computer Telephony Integration base, the present invention enhances quality monitoring by effectively evaluating conversations and initiating actionable events while observing for script adherence, compliance and/or order validation.

Methods and apparatus for audio data monitoring and evaluation using speech recognition

In an outbound call management system, calls to dial are placed in a buffer queue before transfer to the outbound switch. The rated switch capacity (i.e., X calls per minute) is divided into small submultiples (i.e., Y calls per second) such that short term switch capacity will not be exceeded. Calls are transferred from the queue at the submultiple rate or less depending upon the number of calls in the queue. The time scale is small enough that this instantaneous rate at which calls can be transferred from the queue to the switch does not exceed the instantaneous capacity of the switch. If calls are being placed into the queue at a faster rate than they are sent to the switch, the number of calls in the queue will increase. The call management system will see a resultant apparent increase in the number of placed but unanswered calls. The call management system uses the number of available trunks as a factor when calculating the number of calls to dial, if the number of calls in the queue exceeds a certain number, the call management system will interpret the situation as one in which all the trunks are in use. In this situation, the call management system reduces the number of calls to be dialed.

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Trumbell, CT, United States of America

Lawrence P Mark