A method for automatically generating a semantic contextual message is provided. The method includes: prompting a user to grant access to a plurality of data sources of the user and to a plurality of contacts of the user; prompting the user to set a preference for each contact listing which of the data sources are shareable with the corresponding contact; monitoring a network for an incoming communication from a caller to the user, and determining whether the user is available to receive the incoming communication; identifying one of the contacts associated with the incoming communication, collecting data from the data sources listed by the preference of the identified one contact, and generating a semantic contextual message based on the collected data, when it is determined that the user is not available; and outputting the semantic contextual message across the network to the caller.

Systems and methods for sender profile and/or recipient profile disambiguation and/or confirmation are disclosed. In instances where a sender profile is not indicated by a user sending a communication from a communal device, heuristic data may be utilized to infer the sender profile. Similar heuristic data may also be used when selection of the sender profile is associated with a low confidence level. Heuristic data may also be used to infer the recipient profile when the user does not indicate the recipient profile or when selection of the recipient profile is associated with a low confidence. Various confirmations may result from the sender and recipient profile disambiguation.

A call captioning system for captioning a hearing user's (HU's) voice signal during an ongoing call with an assisted user (AU) includes: an AU communication device with a display screen and a caption service activation feature, and a first processor programmed to, during an ongoing call, receive the HU's voice signal. Prior to activating the caption service via the activation feature, the processor uses an automated speech recognition (ASR) engine to generate HU voice signal captions, detect errors in the HU voice signal captions, use the errors to train the ASR software to the HU's voice signal to increase accuracy of the HU captions generated by the ASR engine; and store the trained ASR engine for subsequent use. Upon activating the caption service during the ongoing call, the processor uses the trained ASR engine to generate HU voice signal captions and present them to the AU via the display screen.

Systems and methods for providing an audio communication system include receiving from a first user, by a microphone of a first voice-controlled device of a plurality of voice-controlled devices in an audio communication system, a first audio message and an audio command to provide the audio message to a second user. An identity of the second user associated with a user profile based on the audio command is determined. The first audio message is provided to a second voice-controlled device of the plurality of voice-controlled devices to output the audio message at a speaker of the voice-controlled device to the second user that is proximity to the second voice-controlled device.

Headphones include one or more microphones that capture ambient sound in an environment of a user. The headphones play music from a smartphone and the ambient sound through speakers. An amplitude of the ambient sound playing through the speakers is adjusted in response to determining an atmospheric pressure in the environment or movement of the smartphone with the user.

A smartphone includes a camera that takes a picture of an ear of a user and retrieves at least one head-related transfer function (HRTF) from a database based on the picture. A digital signal processor (DSP) processes the sound to generate binaural sound, and a transmitter transmits the binaural sound to earphones or headphones worn on a head of the user.

Disclosed is a multi-mode communication notification system and method for improving communication between an inmate and a third party by enabling a third party to send a web-initiated contact request for a specific inmate and further allowing the inmate to check his/her contact requests or be automatically notified of contact requests. Additionally, the system electronically notifies the third party when the specific inmate has been notified of the contact request. Further, the system notifies the third party if they have missed a call from the specific inmate.

Disclosed is a method for providing information with a voice message to a subscriber A in response to a receipt of call connection attempt in a terminal device of a subscriber B, the method includes: detecting the call connection attempt from the subscriber A in the terminal device of the subscriber B; generating a message including data carrying a dedicated voice message to the subscriber A; outputting the generated message to the subscriber A. Also disclosed is relates to a system implementing the method and a computer program product.

A method and system for assessing captioning quality of a call assistant (CA) that transcribes a hearing user's (HU's) voice signal during a call with an assisted user (AU) into caption text, the method comprising the steps of receiving an HU voice signal at a relay, providing the HU voice signal to a first CA to transcribe into first caption text, providing the first caption text to a second CA for correction, the text corrected by the second CA being a true text caption and comparing the first caption text to the true text caption to identify a quality factor associated with the first caption text.

A head mounted display (HMD) determines a distance between eyes of a user wearing the HMD, and head-related transfer functions (HRTFs) are selected based on the eye distance. The HMD displays a virtual image to the user and processes sound with the HRTFs into binaural sound that externally localizes at the virtual image. The HMD that determines the distance between the eyes of the user is also the HMD that displays the virtual image and processes the sound with the HRTFs.