Abstract: A computer based system and method for identifying complaint interactions, including: detecting appearances of linguistic structures related to complaints in an interaction; calculating at least one sentiment metric of the interaction; and classifying the interaction as being or not being a complaint interaction based on the detected linguistic structures and the at least one sentiment metric, for example using a trained supervised learning model.

Abstract: A computer-implemented method for managing calls in a collaboration environment is provided. The method includes receiving, by a processor, a call into a collaboration session of the collaboration environment. The method also includes identifying, by the processor, a user from a plurality of users associated with the collaboration session, based on at least one of contextual information regarding the call and information regarding the plurality of users. The method further includes providing, by the processor, an interface on a device associated with the identified user, wherein the interface enables the identified user to instruct the device to handle the call within the collaboration session.

Abstract: Automated monitoring of a voice communication session, when the session is in an on hold status, to determine when the session is no longer in the on hold status. When it is determined that the session is no longer in the on hold status, user interface output is rendered that is perceptible to a calling user that initiated the session, and that indicates that the on hold status of the session has ceased. In some implementations, an audio stream of the session can be monitored to determine, based on processing of the audio stream, a candidate end of the on hold status. In response, a response solicitation signal is injected into an outgoing portion of the audio. The audio stream can be further monitored for a response (if any) to the response solicitation signal. The response (if any) can be processed to determine whether the end of the on hold status is an actual end of the on hold status.

Abstract: A method, computer program product, and computing system for receiving a signal from each microphone of a plurality of microphones, thus defining a plurality of signals. Harmonic distortion associated with at least one microphone may be determined. One or more harmonic distortion-based augmentations may be performed on the plurality of signals based upon, at least in part, the harmonic distortion associated with the at least one microphone, thus defining one or more harmonic distortion-based augmented signals.

Abstract: An audio processor for providing loudspeaker signals on the basis of input signals, like channel signals and/or object signals, obtains an information about the position of a listener and an information about the position of a plurality of loudspeakers, or sound transducers. The audio processor selects one or more loudspeakers for a rendering of the objects and/or of the channel objects and/or of the adapted signals, derived from the input signals. The selection depends on the information about the position of the listener and about the positions of the loudspeakers and takes into consideration the information about one or more acoustic obstacles. The audio signal processor renders the objects/channel objects/adapted signals derived from the input signals, in dependence on the information about the position of the listener and about positions of the loudspeakers, in order to obtain the loudspeaker signals, such that a rendered sound follows a listener.

Abstract: A method for teleconference includes receiving a first media stream that carries a first audio, and a second media stream that carries a second audio, and receiving a first audio weight for weighting the first audio and a second audio weight for weighting the second audio. The first audio weight and the second audio weight are different from each other and determined based on at least one of (i) content of the first audio and content of the second audio or (ii) received customization parameters. The method further includes generating a mixed audio by combining a weighted first audio based on the first audio weight and a weighted second audio based on the second audio weight.

Abstract: Example embodiments of systems and methods for telephone call regulation include the use of a predictive model. An example method includes receiving, by a predictive model, a telephone number from a user application comprising instructions for execution on a user device and determining, by the predictive model, a spam factor for the received telephone number. The example method further includes determining, by the predictive model, a classification of the received telephone number based on the spam factor and transmitting, by the predictive model, the classification of the received telephone number to the user application. The example method further includes receiving, by the predictive model, a feedback from the user application, the feedback indicative of a corrective classification of the received telephone number and modifying, by the predictive model, the spam factor for the received telephone number based on the corrective classification.

Abstract: Methods and systems are provided for audio devices with enhanced directional operations. In a system that includes one or more audio output components, positioning information associated with at least a part of a user's body may be determined, the positioning information including at least orientation related information. The one or more audio output components may be controlled based on the determined positioning information, with the determined positioning information corresponding to a positional nature of the user within a three-dimensional space around the user, and where the controlling includes providing a three-dimensional audio environment according to the user.

Abstract: Systems for and methods of determining the priority of a call interaction include receiving a call interaction from a call center; validating, by a validation and transcription engine, that the call interaction is authentic; converting, by the validation and transcription engine, the call interaction into text; extracting, by a data calculation engine, organization, location, and time information from the text; calculating, by the data calculation engine, a priority of the call interaction from the extracted information and the text by determining an important of words in the text and correlating the words to a priority class using a pre-trained algorithm that is trained on emergency-type and emergency services-type language; determining that the call interaction should be transmitted to a queue of the call center for initial handling by a call center agent; and transmitting the call interaction, the calculated priority, and the extracted information to the call center.

Abstract: A system and method of use to train customer service agents. The training system employs intelligent systems to facilitate or enable the training of customer service agents. The training system provides training to customer service agents and tracks the progress of the customer service trainees. In one aspect, the training system emulates a customer engaging with the customer service trainee, by emulating one or both of the persona of the customer and the scenario of the customer/trainee interaction.

Abstract: A computerized-method for enhancing customers satisfaction by assigning abandoned inbound-interactions to agents each on a satisfactory-digital-channel type. The computerized-method may include operating an Abandoned-Interactions-Input-Utilization (AIIU) module. The AIIU-module may include: (a) operating an accumulator-module to: (i) retrieve abandoned inbound-interactions from the data store of abandoned inbound-interactions and (ii) forward details of the abandoned inbound-interactions to an analyzer-module; (b) for each abandoned inbound-interaction of the abandoned inbound-interactions, a. operating the analyzer-module on the forwarded details of abandoned inbound-interactions to: (i) extract query context and metadata; and (ii) identify a satisfactory-digital-channel type; b.

Abstract: A contact center, communication system, and method of operating a contact center are provided. In one example, the contact center includes a tunable chatbot stored in memory and a chatbot tuning function that controls and adjusts a personality characteristic of the tunable chatbot while the tunable chatbot is interacting with a customer via a customer communication device.

Abstract: The invention relates to systems/methods that enable real-time monitoring/processing of contact center communications to provide timely, actionable analytic insights and real-time critical call alerts, while simultaneously providing best-in-class protection of sensitive customer information.

Abstract: In the field of government engagement management, for users of an employee desktop web client, it is now possible, within the web client application, to search and read articles and/or knowledge content that has been authored to external locations. Due to this integration to external, third-party applications, content and/or articles can be displayed to an agent on the employee desktop web client graphical user interface. Agents can enter free text into a specific search field and review the results in summary form, and then select an article in HTML format to progress the current interaction with the client. An additional feature extending from this capability is to add an amount of coding to external knowledge content websites that are owned and/or operated by the owner of the system such that when the website is viewed through the third-party integration module, a button or icon appears within the website that when selected takes the agent to an appropriate form.

Abstract: A howling detector is described that is configured to receive an input signal and to determine measure of the linearity of a logarithmic representation of the energy of the input signal. In some examples, this triggers gain adjustment (e.g. of a noise control unit) and, in some further examples, the amount of the gain adjustment may be based on an estimation of the maximum stable gain of a noise control unit.

Abstract: 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.

Abstract: Technology is described for routing communications between contacts and agents. Associations may be generated between agents and contacts who intend to communicate with the agents. Weightings for the associations between the agents and the contacts may be determined using a machine learning model to produce weighted associations. The weightings may represent a predicted interaction metric between the agents and the contacts. Selected pairs of agents and contacts may be determined by applying matching rules to the weightings. Communications may be routed between the contacts and the agents in accordance with the selected pairs of agents and contacts.

Abstract: Systems and methods are used to generate contact type predictions that route user customer service requests within a support platform. The contact type predictions are generated using a hybrid model that includes a deep learning component and a business logic component. The deep learning component may generate a multi-channel output based on text features and context features. The multi-channel output is modified based on one or more business rules to generate the contact type predictions.

Abstract: A display apparatus includes: a display panel including: a display area configured to display an image, and a non-display area, at least one first sound generator in the display area, and at least one second sound generator in the non-display area, wherein each of the at least one first sound generator and the at least one second sound generator is configured to vibrate the display panel to generate sound toward a front of the display panel.

Abstract: Techniques for behavioral pairing in a task assignment system are described. In one particular embodiment, the techniques may be realized as a method for behavioral pairing in a task assignment system comprising: determining, by at least one computer processor communicatively coupled to and configured to operate in the task assignment system, at least one behavioral pairing constraint; and applying, by the at least one computer processor, the at least one behavioral pairing constraint to the task assignment system to controllably reduce performance of the task assignment system.