Abstract:
A computer-implemented call center architecture and method for optimizing customer experience through in-band expert intervention is provided. Calls conducted between an agent and a caller are monitored. A need for assistance by an expert agent in one such call based on an inquiry by the caller is identified. Expert selection criteria to a predetermined group of expert agents with expertise in subject matter relating to the caller's inquiry is applied. One of the expert agents that matches with the expert selection criteria is selected and a notification to the agent that the selected expert agent will assist with the call is transmitted. The expert agent is then patched into the call.
Abstract:
A computer-implemented system and method for efficiently reducing transcription error during a call is provided. A group of similar questionable utterances is monitored. Each questionable utterance is assigned a transcribed value and is selected from a different call. A sample of the similar questionable utterances is selected from the group and provided to a human transcriber. A further transcribed value for each of the similar questionable utterances in the sample is received from the human transcriber. The further transcribed values for the similar questionable utterances in the sample are compared. Each of the remaining similar questionable utterances in the group are provided to the human transcriber when the compared further transcribed values of the similar questionable utterances in the sample are different.
Abstract:
A computer-implemented system and method for user-controlled processing of audio signals is provided. An audio signal including a reference segment and a segment preceding the reference segment is obtained. A value q is received from a user. Audio buffers in the preceding segment are defined, each having a width of N samples and a starting point a unique number of samples away from the preceding segment's start, based on a division of N by q. One or more of the buffers are transformed into discrete Fourier transform (DFT) buffers. A signature of the signal is generated using at least a portion of the reference segment and at least one of the DFT buffers. A new audio signal is received and a DFT for the audio signal is generated. The new audio signal is determined to match the audio signal based on a comparison of the DFT to the signature.
Abstract:
A computer-implemented system and method for reducing voice transcription error is provided. Audio data is received during a call and parsed into utterances. A transcribed value and confidence score are assigned to each utterance. Those utterances with low confidence scores are identified as questionable utterances. One of the questionable utterances is selected from the audio data and a pool of questionable utterances is formed. The pool includes the selected questionable utterance and other questionable utterances, from other calls, that are similar to the selected questionable utterance. A size threshold is applied to the pool of questionable utterances. All the questionable utterances in the pool are provided to at least one human transcriber when the pool fails to satisfy the size threshold. Further transcribed values are received from the transcriber for each of the questionable utterances in the pool.
Abstract:
Computer-implemented system and method for dynamically providing guidance during customer interactions are provided. Data associated with a plurality of completed customer interactions is obtained. One or more of the completed customer interactions are identified as successful customer interactions. An ongoing customer interaction is monitored. One or more of the successful customer interactions similar to the ongoing customer interaction are identified. Guidance is generated based on at least one of the similar successful interactions. The guidance is provided to one or more parties to the ongoing customer interaction.
Abstract:
A computer-implemented call center architecture and method for optimizing customer experience through in-band expert intervention is provided. Calls conducted between an agent and a caller are monitored. A need for assistance by an expert agent in one such call based on an inquiry by the caller is identified. Expert selection criteria to a predetermined group of expert agents with expertise in subject matter relating to the caller's inquiry is applied. One of the expert agents that matches with the expert selection criteria is selected and a notification to the agent that the selected expert agent will assist with the call is transmitted. The expert agent is then patched into the call.
Abstract:
A computer-implemented system and method for protecting sensitive information within a call center in real time is provided. A call from a caller is received within a call center. The call is assigned to an agent and a determination is made as to when the caller is to provide sensitive information. The user is transferred to an automated voice response system to which the sensitive information is provided, while maintaining the call with the agent. The caller is returned to the agent upon providing the sensitive information. A notification regarding a status of the sensitive information is sent and the call is terminated.
Abstract:
A system and method for providing hiring recommendations of agents within a call center is provided. A voice sample is received from a candidate agent. The voice sample is analyzed by comparing the voice sample with at least one voice model associated with voice characteristics for two or more populations of a trait. One of the populations to which the candidate agent belongs for that trait is identified. A score is assigned to the candidate agent based on the identified population for the trait. A recommendation for hire for the candidate agent is provided based on the assigned score.
Abstract:
A system and method for transmitting voice messages to a discussion group is provided. Users signed-on to a voice message server are identified. Each signed-on user is associated with one or more discussion groups and a personal communication device. The voice message server receives a voice message from one of the signed-on users via the personal communication device associated with that signed-on user and a discussion group to which the voice message is to be sent. The voice message from the signed-on user is provided to the other signed-on users in the discussion group.
Abstract:
A system and method for analyzing agent interactions is provided. An interaction between an agent and a business is provided to analysts. Performance scores for the interaction are received from each of the analysts and compared. A deviation between the performance score is determined. The deviation is compared to a threshold. Further interactions are provided to at least one of the analysts when the deviation falls below the threshold. A further performance score for the interaction is received from the analyst and provided to the agent associated with the interaction.