In various aspects, a system that receives a first message, wherein the first message comprises a communication device identification and a feature tag having a language indication that indicates a language configuration of a user equipment. In response to the receiving the first message, storing the language indication and associating the language indication with the communication device identification. The system determines whether an incoming call is not authenticated and in response to the determining that the incoming call is not authenticated, transmitting a textual message to the communication device using the language configuration to indicate the incoming call is not authenticated.

A relay for captioning a hearing user's (HU's) voice signal during a phone call between an HU and a hearing assisted user (AU), the HU using an HU device and the AU using an AU device where the HU voice signal is transmitted from the HU device to the AU device, the relay comprising a display screen, a processor linked to the display and programmed to perform the steps of receiving the HU voice signal from the AU device, transmitting the HU voice signal to a remote automatic speech recognition (ASR) server running ASR software that converts the HU voice signal to ASR generated text, the remote ASR server located at a remote location from the relay, receiving the ASR generated text from the ASR server, present the ASR generated text for viewing by a call assistant (CA) via the display and transmitting the ASR generated text to the AU device.

According to one embodiment, a signal processing apparatus correlates a plurality of communication terminals as a group and enables one-to-many communications in the group. The signal processing apparatus includes processing circuitry. The processing circuitry assigns a transmission right to one of the communication terminals in the group. The processing circuitry generates text data based on voice data from said one of the communication terminals in possession of the transmission right. The processing circuitry gives a texting completion notice indicative of completion of texting processing to the communication terminals in the group. The processing circuitry transmits, after the texting completion notice is given, the generated text data to at least one of the communication terminals in the group.

A communication system can include terminal devices that communicate with a social network or a computer server device for scheduling use of conference resources and/or for using conference appliances that may be located in a conference room being used for a video conference or teleconference. The communication system can be configured to permit a user to use such resources without having to have a user's device be physically and directly connected by wiring to a conference appliance or communication device. The communication system can also be configured to validate participants to help ensure that only authorized personnel are properly attending a scheduled conference based on audio and/or video input received for the different participants and can also be configured to allow screen sharing to be performed during a video conference or teleconference.

The present disclosure relates to automatically correcting mispronounced keywords during a conference session. More particularly, the present invention provides methods and systems for automatically correcting audio data generated from audio input having indications of mispronounced keywords during an audio/videoconferencing system. In some embodiments, the process of automatically correcting the audio data may require a re-encoding process of the audio data at the conference server. In alternative embodiments, the process may require updating the audio data at the receiver end of the conferencing system.

An omni-channel orchestrated conversation system and virtual conversation agent for realtime contextual and orchestrated omni-channel conversation with a human and an omni-channel orchestrated conversation process for conducting realtime contextual and fluid conversation with a human by a virtual conversation agent in relation to a particular domain are disclosed.

An approach is described for facilitating an outbound call from a calling party and a called party by displaying specific information on the communication device of the called party. The displayed specific information is based on a communication characteristic of the called party, where the communication characteristic includes a language characteristic of the called party. Based on language characteristic of the called party, customized display content is provided to the communications device of the called party, on or prior to the called party being alerted to the requested communication. The customized display content improves the answer rate and the conversion rate of the outbound call.

A computer captures a voice of a user. The computer determines a frequency spectrum and a voice pattern of the voice. The computer identifies one or more topics of the voice by transcribing the voice by a natural language processing. The computer identifies the user based on matching the frequency spectrum of the voice to the frequency spectrum of the conversation and the pattern of the voice to the pattern of the conversation when a conversation is intercepted and determines a trust score based on comparing the one or more topics to the one or more topics extracted from the conversation.

A system includes acquisition of meeting data associated with a meeting, determination of a plurality of meeting participants based on the acquired meeting data, acquisition of e-mail data associated with each of the plurality of meeting participants, generation of a meeting language model based on the acquired e-mail data and the meeting data, and transcription of audio associated with the meeting based on the meeting language model.

A communication system for processing a call includes control logic and at least one machine learning model generating call classifiers from outputs of an audio signal processor and a natural language processor operated on the call. Heuristic logic transforms the call classifiers into weighted sub-metrics for the call, and aggregate normalized Gaussian logic transforms the weighted sub-metrics into a metric control that may be applied as a feedback signal to adapt the operation of the control logic. The control logic in turn may adapt the behavior of an agent, automated voice attendant, or a template utilized in a call flow. The system includes a scorecard interface operable to select a target and an indication of the metric control to apply for the target, and to apply the metric control to generate and display a historical performance visualization and a performance feed of the metric for the target.