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 computer-implemented system and method for facilitating interactions via automatic agent responses is provided. Communication during an interaction between a user and an agent is monitored and a request from the user is identified during the interaction. A list of candidate responses to the request is compiled and provided to the agent. Time is measured upon providing the list to the agent and a predetermined amount of time is applied to the measured time. When the measured time exceeds the predetermined amount of time and the agent has failed to provide a response to the user, one of the candidate responses from the list is automatically selected and provided to the user.
Abstract:
A computer-implemented system and method for performing distributed speech recognition is provided. Audio data is collected. A main grammar and secondary grammars are simultaneously provided for the audio data. Each secondary grammar includes an independent grammar. Speech recognition is simultaneously performed on the audio data using each secondary grammar. A new grammar is constructed for the audio data based on the main grammar template using results of the speech recognition. Further speech recognition is performed on the audio data using the new grammar.
Abstract:
A system and method for providing agent guidance is provided. Speech communicated by a user to an agent is monitored during a call within a call center. Traits of the user are identified during the call based on the speech of the user. A determination is made as to how likely the user is to accept an offer provided by the agent based on the user traits. The user is classified as belonging to one of a plurality of stages of persuasion based on the likelihood determination, and guidance is provided to the agent based on classification of the user in at least one of the classes. The offer is provided to the user based on the guidance.
Abstract:
A computer-implemented system and method for transcription error reduction during a live call is provided. Speech utterances are transcribed during a live call. A confidence score is assigned to each transcribed speech utterance. One of the transcribed speech utterances with a low confidence score is identified. An attempt is made to identify a pool of related transcribed speech utterances by monitoring other live calls for a predetermined amount of time. Similar transcribed speech utterances with low confidence scores are identified and a group of the similar transcribed speech utterances and the identified transcribed speech utterance is formed. A determination is made as to whether the group includes a predetermined number of transcribed speech utterances upon termination of the predetermined time. If so, a sample of the transcribed speech utterances in the pool is processed to verify a validity of the transcribed speech utterances.
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 individual record encryption is provided. A plurality of records associated with incoming calls to a call center are maintained. A unique encryption key is randomly generated for each record. The records are each encrypted using the encryption key generated for that record. The keys are stored in a location separate from the encrypted records.
Abstract:
A computer-implemented system and method for facilitating agent-customer calls is provided. A call from a customer is accepted into a call center and is assigned to an agent associated with the call center. At least one text message is received from the customer during the call and is directed to the agent. Outgoing text messages are received from the agent in response to the text message from the customer and content of the outgoing text messages from the agent are converted into synthesized speech. The synthesized speech is provided to the customer during the call.
Abstract:
A system and method for performing distributed speech recognition is provided. Audio data is received on a main recognizer and on each of a plurality of secondary recognizers. Secondary grammars are transmitted to each of the secondary recognizers. The secondary recognizers each perform speech recognition on the audio data using the secondary grammar for that secondary recognizer. A new grammar is constructed based on results of the speech recognition by each of the secondary recognizers. The main recognizer performs speech recognition on the audio data using the new grammar.
Abstract:
A system and method for providing guidance to persuade a caller is provided. A call is received from a caller into a call center and an offer is provided to the caller. A likelihood of the caller to accept the offer is measured by analyzing voice input of the caller during the call. One or more paralinguistic voice characteristics in the voice input are determined. A stage of persuasion is assigned to the caller based on the paralinguistic voice characteristics and a recommendation is made for guidance to persuade the caller to accept the offer.