Abstract:
A system and method for processing multi-modal communications is provided. A call is received into a call center via a telephone. The call includes an inquiry of incoming speech utterances from a caller. The call is assigned to an agent within the call center. Transcribed text is generated by performing automatic speech recognition on the incoming speech utterances. The transcribed text is displayed to the agent via a display. Text messages from the caller are separately received into the call center via the telephone during the call. The text messages are identified as originating from the caller of the call and displayed to the agent.
Abstract:
A computer-implemented system and method for facilitating appointments within a call center is provided. A list of agents within a call center is received from a user. Each agent is associated with a call queue and handles incoming customer calls to the call queue. An availability of each of the agents on the list is determined. One of the agents is selected as a most available agent. The user is provided with records for the most available agent and is automatically connected with the most available agent.
Abstract:
A computer-implemented system and method for transcribing verbal messages is provided. Verbal messages each comprising audio content are received. Automatically recognized text is generated for the audio content of at least one of the verbal messages. A turn-around processing time is applied to the verbal message. The automatically recognized text and verbal message are transferred to a human agent when an expected processing time of the verbal message satisfies the turn-around processing time. At least a portion of the automatically recognized text is replaced with manual transcription from the human agent. The automatically recognized text and manual transcription are provided as a text message.
Abstract:
A system and method for storing call recordings in a call center is provided. Incoming calls to a call center are monitored. Retention criteria are obtained and ordered by importance. The retention criteria are applied to each of the calls. Those calls that match at least one of the retention criteria are identified. The identified calls that include one of a single highly important criteria and two or more less important criteria are selected for retaining in the call center. Recordings of the selected calls are stored in the call center.
Abstract:
A computer-implemented system and method for storing and retrieving sensitive information is provided. Segments of sensitive data each encrypted via a single use encryption key and associated with a reference code are maintained. The reference code is received for at least one of the segments of encrypted sensitive data and the encryption key is recreated based on the received reference code. The encrypted sensitive data segment is decrypted using the recreated encryption key and the decrypted sensitive data segment populates a field in a display.
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 delivering group messages is provided. Users signed on to a discussion group that is associated with a discussion group ID are identified. One of the signed-on users is designated as a moderator. A voice message is received and the discussion group ID is extracted from the voice message. The voice message is provided to the moderator and further provided to the signed-on users in the discussion group upon acceptance of the voice message by the moderator.
Abstract:
A computer-implemented system and method for assigning call agents to callers is provided. A call from a caller is received into a call center. A voice sample is obtained from the caller during the call and analyzed. Traits of the caller are identified from the analyzed voice sample. A determination that at least one of the identified traits includes characteristics of multiple populations for that trait is made. The identified trait is defined as a percentage of each population included in that trait. The caller traits are compared to traits associated with each active agent within the call center. The agent with the traits most similar to the caller traits is assigned to the caller.
Abstract:
A computer-implemented system and method for transcription error reduction is provided. A transcribed value and a confidence score are assigned to each utterance in a stream of audio data. Those utterances with confidence scores that fall below a confidence threshold are identified as questionable utterances. At least one of the questionable utterances is placed into a pool of related utterances also determined to be questionable. A determination is made as to whether the pool satisfies a size threshold within a predetermined amount of time. A sample of the questionable utterances from the pool is obtained when the pool satisfies the size threshold within the predetermined amount of time. The sample of questionable utterances is provided to at least one human transcriber for verification.
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.