Abstract: A system and method for emotion-enhanced natural speech using artificial neural networks, wherein two artificial neural networks are trained to recognize emotion in text-based content and audio-based content by processing text-based training data and audio-based training data, wherein the audio-based training data corresponds to the text-based training data; and an emotion injection model is created by associating text from output data of one of the artificial neural networks with sounds from output data of a second of the artificial neural networks based on the emotions associated with each.

Abstract: A system and method for emotion-enhanced natural speech using dilated convolutional neural networks, wherein an audio processing server receives a raw audio waveform from a dilated convolutional artificial neural network, associates text-based emotion content markers with portions of the raw audio waveform to produce an emotion-enhanced audio waveform, and provides the emotion-enhanced audio waveform to the dilated convolutional artificial neural network for use as a new input data set.

Abstract: A system and method for improved categorization and sentiment analysis which is fed textual data such as transcriptions or collated data from a network enabled service, or some other source, which then segments textual data into chunks, parses the data chunks, and analyzes it using a plurality of techniques and metadata gathering methods to determine the sentiment of participating individuals concerning entities mentioned in the textual data and to categorize the discussions, for the purpose of taking actions to improve business outcomes.

Abstract: A system and method for securely recording voice communications, comprising a network-connected computer server and an authentication system which verifies the validity of voice communications.

Abstract: A system for automatically automatic workflow triggering using real-time analytics, comprising an analytics server that receives and analyzes interaction information and a workflow server that produces workflow events based on the analysis, sends workflow events to handlers for processing, retrieves workflow-related data, and produces workflow reports for review, and a method for automatically automatic workflow triggering using real-time analytics.

Abstract: A system and method for an optimized, self-learning and self-organizing contact center has been developed. This system and method uses principles and tools of information theory, including the latent Dirichlet allocation which reduces information to specific predetermined topics and a distribution of topic related words to infer its hidden, generative underpinnings so to self-organize a contact center, infer its desired electronic versus human make up, and optimally route all customer requests to an electronic resource or a specific human agent best suited to respond to the request for maximal business value per interaction.

Abstract: A system and method for securely recording voice communications, comprising a network-connected computer server and an authentication system which verifies the validity of voice communications.

Abstract: A system for integrated virtual assistant and contact center end-to-end functionality, which allows users to use their personal virtual assistant (such as SIRI, Amazon Alexa, Google Assistant, Cortana, and others) to extend functionality and communicate with other VA's and with contact centers through an interface, for services and functionality to be improved and automated.

Abstract: A system for virtual assistant facilitated contact center communications, wherein a virtual assistant at a contact center is used to communicate with a virtual assistant operating on a user device, thereby automating and improving contact center to customer communications. When a service request is received at a virtual assistant at the contact center from a virtual assistant operating on a user device, the virtual assistant at the contact center exchanges messages with one or more internal systems at the contact center to obtain relevant information. If any of the internal systems identifies missing information, the virtual assistant at the contact center queries the virtual assistant on the user device for the missing information.

Abstract: A system and method for emotion-enhanced natural speech using dilated convolutional neural networks, wherein an audio processing server receives a raw audio waveform from a dilated convolutional artificial neural network, associates text-based emotion content markers with portions of the raw audio waveform to produce an emotion-enhanced audio waveform, and provides the emotion-enhanced audio waveform to the dilated convolutional artificial neural network for use as a new input data set.

Abstract: A system for automatically automatic workflow triggering using real-time analytics, comprising an analytics server that receives and analyzes interaction information and a workflow server that produces workflow events based on the analysis, sends workflow events to handlers for processing, retrieves workflow-related data, and produces workflow reports for review, and a method for automatically automatic workflow triggering using real-time analytics.

Abstract: A system and method for improved categorization and sentiment analysis which is fed textual data such as transcriptions or collated data from a network enabled service, or some other source, which then segments textual data into chunks, parses the data chunks, and analyzes it using a plurality of techniques and metadata gathering methods to determine the sentiment of participating individuals concerning entities mentioned in the textual data and to categorize the discussions, for the purpose of taking actions to improve business outcomes.

Abstract: A system and method for an optimized, self-learning and self-organizing contact center has been developed. This system and method uses principles and tools of information theory, including the latent Dirichlet allocation which reduces information to specific predetermined topics and a distribution of topic related words to infer its hidden, generative underpinnings so to self-organize a contact center, infer its desired electronic versus human make up, and optimally route all customer requests to an electronic resource or a specific human agent best suited to respond to the request for maximal business value per interaction.

Abstract: A system and method for an optimized, self-learning and self-organizing contact center has been developed. This system and method uses principles and tools of information theory, including the latent Dirichlet allocation which reduces information to specific predetermined topics and a distribution of topic related words to infer its hidden, generative underpinnings so to self-organize a contact center, infer its desired electronic versus human make up, and optimally route all customer requests to an electronic resource or a specific human agent best suited to respond to the request for maximal business value per interaction.

Abstract: A system and method for improved categorization and sentiment analysis which is fed textual data such as transcriptions or collated data from a network enabled service, or some other source, which then segments textual data into chunks, parses the data chunks, and analyzes it using a plurality of techniques and metadata gathering methods to determine the sentiment of participating individuals concerning entities mentioned in the textual data and to categorize the discussions, for the purpose of taking actions to improve business outcomes.

Abstract: A system and method for securely recording voice communications, comprising an authentication server, further comprising at least a software components operating on a network-capable computing device, and a database, wherein an authentication server verifies the validity of voice communications and a database stores voice communication recordings.

Abstract: A system and method for securely recording voice communications, comprising an authentication server, further comprising at least a software components operating on a network-capable computing device, and a database, wherein an authentication server verifies the validity of voice communications and a database stores voice communication recordings.

Abstract: A system and method for improved categorization and sentiment analysis which is fed textual data such as transcriptions or collated data from a network enabled service, or some other source, which then segments textual data into chunks, parses the data chunks, and analyzes it using a plurality of techniques and metadata gathering methods to determine the sentiment of participating individuals concerning entities mentioned in the textual data and to categorize the discussions, for the purpose of taking actions to improve business outcomes.

Abstract: A system and method for securely recording voice communications, comprising an authentication server, further comprising at least a software components operating on a network-capable computing device, and a database, wherein an authentication server verifies the validity of voice communications and a database stores voice communication recordings.

Abstract: A system for integrated virtual assistant and contact center end-to-end functionality, which allows users to use their personal virtual assistant (such as SIRI, Amazon Alexa, Google Assistant, Cortana, and others) to extend functionality and communicate with other VA's and with contact centers through an interface, for services and functionality to be improved and automated.