The exemplary embodiments disclose a system and method, a computer program product, and a computer system for determining the context of calls and providing a user interface to a user. The exemplary embodiments may include collecting data from the call, extracting one or more features from the collected data, determining a context of the call based on applying one or more models to the extracted one or more features, and providing a user with a user interface.

A computer-implemented method for providing an objective evaluation to a customer service representative regarding his performance during an interaction with a customer may include receiving a digitized data stream corresponding to a spoken conversation between a customer and a representative; converting the data stream to a text stream; generating a representative transcript that includes the words from the text stream that are spoken by the representative; comparing the representative transcript with a plurality of positive words and a plurality of negative words; and generating a score that varies according to the occurrence of each word spoken by the representative that matches one of the positive words, and/or the occurrence of each word spoken by the representative that matches one of the negative words. Tone of voice, as well as response time, during the interaction may also be monitored and analyzed to adjust the score, or generate a separate score.

Disclosed is a secure telephone call management system for authenticating users of a telephone system in an institutional facility. Authentication of the users is accomplished by using a personal identification number, preferably in conjunction with speaker independent voice recognition and speaker dependent voice identification. When a user first enters the system, the user speaks his or her name which is used as a sample voice print. During each subsequent use of the system, the user is required to speak his or her name. Voice identification software is used to verify that the provided speech matches the sample voice print. The secure system includes accounting software to limit access based on funds in a user's account or other related limitations. Management software implements widespread or local changes to the system and can modify or set any number of user account parameters.

A computer-implemented method for providing an objective evaluation to a customer service representative regarding his performance during an interaction with a customer may include receiving a digitized data stream corresponding to a spoken conversation between a customer and a representative; converting the data stream to a text stream; generating a representative transcript that includes the words from the text stream that are spoken by the representative; comparing the representative transcript with a plurality of positive words and a plurality of negative words; and generating a score that varies according to the occurrence of each word spoken by the representative that matches one of the positive words, and/or the occurrence of each word spoken by the representative that matches one of the negative words. Tone of voice, as well as response time, during the interaction may also be monitored and analyzed to adjust the score, or generate a separate score.

A system, method and non-transitory computer readable medium for generating a voiceprint for a call participant are disclosed, wherein an audio recording or communication session is received, the quality of the audio recording is analyzed, and if determined to be of sufficient quality, the audio recording is separated into speech for each call participant, which may be further analyzed to generate a voiceprint for each participant. The voiceprint that is generated may be used to identify the participant in other historical recordings or in an active communications session, and upon such an identification, one or more compliance or data protection policies may be applied.

A device configured to obtain at least a portion of a phone call and to identify a voice signal associated with a person on the phone call. The device is further configured to generate metadata for the phone call and a transcript for the phone call. The device is further configured to input the transcript and the metadata into a machine learning model and to receive a call profile from the machine learning model. The call profile includes a first call classification for the phone call. The device is further configured to identify a call log associated with the phone call that includes a second call classification for the phone call. The device is further configured to determine that the first call classification does not match the second call classification, to generate a feedback report that identifies the first call classification, and to output the feedback report.

A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform steps of a method for detecting harassment. The system may receive communication data from a first customer service representative terminal or a customer communication device and may determine, based at least in part on the communication data and stored communication data, that the communication data comprises harassing content. The system may, responsive to determining that the communication data comprises harassing content, transmit to a second customer service representative terminal, a notification indicating that the communication data comprises harassing content.

An electronic device is disclosed. In addition, various embodiments recognized through the specification are possible. The electronic device includes a sensor, a processor operatively connected with the sensor, and a memory, operatively connected with the processor, including instructions. The instructions, when executed by the processor, cause the processor to perform biometric authentication for a user of the electronic device using the sensor, while a call connection procedure is performed with an ARS server, receive a voice signal for requesting private information of the user from the ARS server and convert the voice signal into text, and determine private information requested by the ARS server among at least one private information of the user, the at least one private information being previously stored in the memory, based on the converted text, and transmit the determined private information to the ARS server.

While a teleconference is occurring, data of a teleconference is analyzed to determine first participant data associated with a first speaker and second participant data associated with a second speaker. At a different application, addition of a first speaker indicator and a second speaker indicator to a text entry of a user is caused, the first speaker indicator added concurrently with identification that the first speaker is speaking and the second speaker indicator added concurrently with identification that the second speaker is speaking. At the different application, addition of key information to a text entry of a user is caused, the key information comprising participant data associated with the first speaker and second participant data associated with the second speaker.

A cloud-based communication system for monitoring a collaboration session. Based on the monitoring, the system identifies a collaboration event that indicates desirability of a break or that a digression from a session topic has or is occurring. When a collaboration event is identified, a prompt is communicated to the facilitator of the collaboration session. The collaboration event may be defined in a variety of ways such as participant fatigue, participant distraction, or the like. The system provides the facilitator with actions to be initiated by the system (automatically or in response to facilitator/user input) to respond to an identified communication event. The actions include initiating a break, acting to avoid or reduce session digressions, and creating a highlight reel of the collaboration session, including a number of unique features enabling more efficient retrieval and/or review of data. A distracted or fatigued participant can be directed to access the highlight reel.