7 results about "Speech interface" patented technology

The utility model relates to interface EMC protection technical field, concretely is a low cost voice protection circuit, a low cost voice protection circuit, including speech interface RJ11, voice protection circuit, speech matching circuit and speech SLIC chip that electrically connect gradually, voice protection circuit includes the primary protection circuit and secondary protection circuit that set gradually along signal transmission direction, the input end of primary protection circuit connects speech interface RJ11's tip end and ring, and the input end of secondary protection circuit is connected to the output end of primary protection circuit. The present application sets up the hierarchical protection framework containing primary protection circuit and secondary protection circuit between speech interface and SLIC chip, and combines the hierarchical configuration of matching resistance group, and forms the low cost, high reliability speech signal protection system.

A dialysis machine includes a user interface for providing visual information and / or spoken information to a user. For example, in some implementations, the user interface may be configured to provide visual information related to an action, such as showing the action being partially or fully completed, and a speaker can provide spoken instructions to assist the user in machine set-up, calibration and / or operation. Such instructions can be particularly useful in a home dialysis setting. In some implementations, the speaker can provide spoken alarms that are related to alarm conditions. The spoken alarms may include patient and / or dialysis machine identifying information. The verbosity of the spoken instructions and / or the spoken alarms may be adjustable, and both may be accompanied by visual information displayed by the dialysis machine (e.g. visual alarms, images and / or video).

The present invention proposes a method and system that converts a procedure document into a smart procedure system capable of voice interfacing. The system of the present invention may include a conversion module that converts the BPMN process model of a procedure expressed in XML, automatically generated via NLP-based technology, into a smart procedure system capable of voice interfacing. The conversion module may be configured as a client-server architecture composed of a mobile application client on a smart device and a server system providing backend services.

This invention relates to the field of voice interface control technology, specifically to an AI outbound calling system and its control method and medium, comprising modules for physical link construction, interaction state recognition, flow path control, and intervention and collaborative response. By smoothly connecting analog signal gaps through impedance matching and gain compensation, a synchronous and continuous uplink and downlink voice signal sequence is generated; audio energy jumps are identified to pinpoint call state transition periods; frequency distribution characteristics of AI and human mode switching are analyzed to extract abnormal frequency segments of routing switching; and response synchronization flags are located by combining human intervention trend positioning to ultimately determine the core interactive control result. This invention improves the time consistency and compatibility of audio transmission across hardware terminals, and achieves efficient collaborative response and closed-loop control of interaction states between AI and human modes by accurately identifying flow paths and intervention response locations.

Memory degradation detection and assessment includes capturing human utterances using a voice interface and generating a corpus of human utterances for a user, selecting human utterances from the corpus of human utterances based on a meaning of the human utterances determined by a computer processor through natural language processing. Contextual information for one or more of the corpus of human utterances is determined based on data generated in response to signals sensed by one or more sensing devices operatively coupled with the computer processor. Patterns in the corpus of human utterances are identified based on pattern recognition performed by the computer processor using one or more machine learning models. Changes in memory functioning of the user are identified based on the pattern recognition. The changes identified based on the contextual information are classified as to whether the changes are likely due to a memory impairment of the user.

Digitally assisted mobile assistance system with at least one rolling or flying mobile carrier platform, at least one computing unit, at least one voice interface, at least one audio unit, at least one camera unit and at least one artificial intelligence for interaction with at least one user.