H04M2203/301

SYSTEM AND METHOD FOR DETERMINING AND UTILIZING AFTER-CALL-WORK FACTOR IN CONTACT CENTER QUALITY PROCESSES
20220198364 · 2022-06-23 ·

A computerized-method for calculating an After-Call-Work (ACW) factor of an interaction in a contact center, by which a related recording may be filtered for evaluation is provided herein. The method includes an After-Call-Work (ACW) factor calculation module. The operating of the ACW factor calculation module includes: (i) receiving agent recording of the interaction; (ii) aggregating data fields associated with: (a) the interaction; and (b) the customer; (iii) retrieving ACW time of the interaction; (iv) forwarding the aggregated data fields to a machine learning model; (v) operating the machine learning model to calculate a predicted ACW time, based on the aggregated data fields; (vi) calculating an ACW factor based on the received time of ACW and the calculated predicted ACW time; and (vii) sending the calculated ACW factor to a platform by which the platform is preconfigured to distribute the interaction for evaluation, based on the ACW factor.

System and method to evaluate agent call logging in a contact center
11356557 · 2022-06-07 · ·

A computerized method for evaluating agent-call-logging, in a contact center, is provided herein. The method includes operating an evaluating agent-call-logging module. The operating of an evaluating agent-call-logging module includes: (i) receiving a recorded interaction between an agent and a customer, stored in the database of recorded interactions and a corresponding agent-call-logging, having ‘n’ sentences, stored in the database of call loggings; (ii) operating a speech-to-text algorithm on the received recorded interaction to yield a summarized text thereof. The yielded summarized text is comprised of sentences expressed by the customer; and (iii) operating a semantic comparison unit, to compare each sentence in the yielded summarized text with a corresponding sentence in the agent-call-logging, to yield a Sentence Similarity Score (SSS) for each sentence of the agent-call-logging.

Capturing messages from a phone message exchange with matter association
11350252 · 2022-05-31 · ·

A method for text capture with matter association is provided. The method includes, responsive to a user entering one or more telephone numbers of one or more mobile text-enabled devices of other users to engage in a message exchange therebetween, receiving an additional phone number for message capture that uses a Short Message Service (SMS) Application Programming Interface (API) synchronized with a remote message capture device. The method further includes receiving a matter number dynamically specified for the message exchange. The method also includes capturing, by the remote message capture device using the SMS API, message content and metadata for messages of the message exchange. The method additionally includes storing the message content and the metadata associated with the matter number in a searchable remote message repository.

Social Networking Service for Sharing Recordings of Phone Calls
20220166876 · 2022-05-26 ·

A method and system for a social networking service for sharing recording of phone calls performed by a processing device running on an internet device. The method enables a user of the internet device to open an account and to be identified by a user account, enables the user to conduct the phone call with a participant by the phone call service, enables the recording of the phone call by a recording system, enables the sending to the participant a digital notification for asking permission to upload the recording to the account of the user, enables the participant to send the permission as a digital file that is stored and tagged into the recording or the processing device, and enables the user to tag the recording by hash-tag.

CENTRALLY CONTROLLING COMMUNICATION AT A VENUE

One example may include a method that includes receiving, at a server, a data set from one or more mobile devices located in a presentation space, combining the received data set with additional data to create a combined data set, creating a presentation signal based on the combined data set, subtracting a portion of one or more of the data set and the additional data set from the combined data set to create a modified presentation signal, forwarding the modified presentation signal to one or more of a display and a loudspeaker located in the presentation space, and playing the modified presentation signal via one or more of the loudspeaker and the display device.

Automatic distribution of inmate phone recordings

Embodiments for automatically distributing phone call recordings to interested parties generally include associating one or more forwarding criteria with each of one or more interested parties, establishing a phone call from a calling party to a destination number through an institutional phone system, recording the phone call, and, if the phone call satisfies one or more forwarding criteria associated with one or more interested parties, automatically distributing the recording of the phone call to the at least one interested party associated with the satisfied one or more forwarding criteria. Distribution may be by e-mail, by uploading the recording to a website that interested parties (and preferably only interested parties) can access, by queuing the recordings for export to physical media, and/or through a voice mail system. Calls may be selected for distribution based on the caller, the called party, conversation content, call time, or any other suitable criteria.

Tool for annotating and reviewing audio conversations

Methods, systems, and computer programs are presented for searching and labeling the content of voice conversations. An Engagement Intelligence Platform (EIP) analyzes conversation transcripts to find states and information for each of the states (e.g., interest rate quoted and value of the interest rate). An annotator User Interface (IU) is provided for performing queries, such as, “Find calls were the agent asked the customer for their name and the customer did not answer;” “Find calls where the customer objected after the interest rate for the loan was quoted, “Find calls where the agent asked for consent for recording the call, but no customer confirmation was received.” The EIP analyzes the conversation and labels (e.g., “tags”) the text where the conversation associated with the label took place, such as, “An interest rate was provided.” The labels are customizable, so each client can define its own labels based on business needs.

METHOD AND APPARATUS FOR SUMMARIZATION OF DIALOGS

A method for summarizing dialogs may include obtaining an agent text stream and a customer text stream, segmenting the agent text stream and customer text stream into sentences, and labeling sentences associated with the segmented agent text stream and the segmented customer text stream. The method may further include extracting sentences from the agent text stream and the customer text stream based upon frequencies of appearance of words and terms of interest; generating an agent summary paragraph based on the extracted sentences from the agent text stream, and generating a customer summary paragraph based on the extracted sentences from the customer text stream. The method may identify keywords associated with each of the agent summary paragraph and the customer summary paragraph.

Systems and methods for detecting inmate to inmate conference calls
11233896 · 2022-01-25 · ·

A system for detecting inmate to inmate conference calls in a correctional facility is disclosed herein. The system includes a database and a conference call detection server, wherein the conference call detection server is configured to monitor a plurality of inmate communications, convert an audio signal of each inmate communication to a frequency domain signal, identify frequency data comprising one or more frequency peaks and corresponding frequency values in the frequency domain signal for each inmate communication, generate a record comprising the frequency data for each inmate communication, resulting in a plurality of records, store the plurality of records in the database, detect an inmate to inmate conference call by matching a frequency subset of a new inmate communication with frequency data in a detected record in the database, and verify the inmate to inmate conference call by matching audio with voice biometric samples.

Centrally controlling communication at a venue

One example may include a method that includes receiving, at a server, a data set from one or more mobile devices located in a presentation space, combining the received data set with additional data to create a combined data set, creating a presentation signal based on the combined data set, subtracting a portion of one or more of the data set and the additional data set from the combined data set to create a modified presentation signal, forwarding the modified presentation signal to one or more of a display and a loudspeaker located in the presentation space, and playing the modified presentation signal via one or more of the loudspeaker and the display device.