Abstract:
A system and method for user notification regarding detected events is provided. A plurality of messages are accessed from one or more sources. Those of the messages associated with one or more potential events are identified. The potential events are detected based on the messages. At least one of the potential events is identified as an event based on a number of messages associated with that potential event. Metadata regarding the event is extracted by from the messages associated with the event. Information regarding the event is obtained from a third party different from the one or more sources of the monitored messages. A message regarding the event is generated, the generated message comprising the extracted metadata and the information. At least one user associated with the event is identified, wherein the at least one user is notified of the event using the generated message.
Abstract:
A system and method for identifying special information within a voice recording is provided. Training to identify a speaker is performed. A voice recording including utterances by at least two speakers is processed to identify segments of the voice recording provided by the speaker. Remaining segments of the voice recording are designated as provided by another speaker. A text element that corresponds to a request for information is identified in at least one of the segments of the voice recording provided by the speaker. A predetermined duration associated with the identified text element is applied to one of the segments of the voice recording of the other speaker occurring immediately after the segment of the voice recording from the regular speaker with the identified text element. The utterances from the other speaker occurring within the predetermined duration are identified as special information and rendered unintelligible.
Abstract:
A computer-implemented system and method for detecting events for use in an automated call center environment are provided. A plurality of messages is monitored by a call center. Those messages sharing one or more keywords representative of one or more potential events are identified. The one or more potential events are detected based on the shared keywords. At least one of the potential events is identified as an event based on the number of messages that share the keywords representative of that potential event. Metadata regarding the event is extracted from the messages sharing the keywords representative of the event. A message regarding the event that includes the extracted metadata is generated. The generated message from the call center is provided to at least one user related to the event.
Abstract:
A system and method for providing ongoing call center call assistance with the aid of a digital computer is provided. A call is received from a caller by an automatic call distributor in a call center and the caller is connected by the automatic call distributor to an agent of the call center. The agent's speech during the call is monitored by an intervention processor included in the call center. The intervention processor determines speech characteristics of the agent during the call, obtains predetermined speech characteristics for the agent, compares the predetermined speech characteristics to the speech characteristics determined during the call, and detects the agent being in need of assistance based on the comparison. The automatic call distributor determines a subject matter of the call and the intervention processor identifies an expert whose expertise matches the subject matter. The intervention processor patches the expert into the call.
Abstract:
A system and method for providing customer-specific ongoing call center assistance with the aid of a digital computer are provided. A call is received from a caller in a call center and the caller is connected to an agent of the call center. The speech of at least one of the caller and the agent is monitored during the call. A subject matter of the call is determined based on the monitoring. One or more characteristics of the caller are obtained. The agent is identified as being in need of assistance. Expert selection criteria are obtained and weighed based on one or more of the characteristics of the caller. An expert agent is selected using the weighed expert selection criteria and the subject matter of the call. The selected expert agent is patched into the call.
Abstract:
A system and method for identifying special information is provided. Endpoints are defined within a voice recording. One or more of the endpoints are identified within the voice recording and the voice recording is partitioned into segments based on the identified endpoints. Elements of text are identified by applying speech recognition to each of the segments and a list of prompt list candidates are applied to the text elements. The segments with text elements that match one or more prompt list candidates are identified. Portions of the voice recording following the prompt list candidates that include special information are identified and the special information is rendered unintelligible within the voice recording.
Abstract:
A computer-implemented system and method for detecting events for use in an automated call center environment are provided. A plurality of messages is monitored by a call center. Those messages sharing one or more keywords representative of one or more potential events are identified. The one or more potential events are detected based on the shared keywords. At least one of the potential events is identified as an event based on the number of messages that share the keywords representative of that potential event. Metadata regarding the event is extracted from the messages sharing the keywords representative of the event. A message regarding the event that includes the extracted metadata is generated. The generated message from the call center is provided to at least one user related to the event.
Abstract:
A computer-implemented system and method for masking special data is provided. Speakers of a call recording are identified. The call recording is separated into strands corresponding to each of the speakers. A prompt list of elements that prompt the speaker of the other strand to utter special information is applied to one of the strands. At least one of the elements of the prompt list is identified in the one strand. A special information candidate is identified in the other strand and is located after a location in time where the element was found in the voice recording of the one strand. A confidence score is assigned to the element located in the one strand and to the special information candidate in the other strand. The confidence scores are combined and a threshold is applied. The special information candidate is rendered unintelligible when the combined confidence scores satisfy the threshold.
Abstract:
A computer-implemented system and method for masking special data is provided. Speakers of a call recording are identified. The call recording is separated into strands corresponding to each of the speakers. A prompt list of elements that prompt the speaker of the other strand to utter special information is applied to one of the strands. At least one of the elements of the prompt list is identified in the one strand. A special information candidate is identified in the other strand and is located after a location in time where the element was found in the voice recording of the one strand. A confidence score is assigned to the element located in the one strand and to the special information candidate in the other strand. The confidence scores are combined and a threshold is applied. The special information candidate is rendered unintelligible when the combined confidence scores satisfy the threshold.
Abstract:
A system and method for identifying special information within a voice recording is provided. Training to identify a speaker is performed. A voice recording including utterances by at least two speakers is processed to identify segments of the voice recording provided by the speaker. Remaining segments of the voice recording are designated as provided by another speaker. A text element that corresponds to a request for information is identified in at least one of the segments of the voice recording provided by the speaker. A predetermined duration associated with the identified text element is applied to one of the segments of the voice recording of the other speaker occurring immediately after the segment of the voice recording from the regular speaker with the identified text element. The utterances from the other speaker occurring within the predetermined duration are identified as special information and rendered unintelligible.