Methods and systems may incorporate voice interaction and other audio interaction to facilitate access to prescription related information and processes. Particularly, voice/audio interactions may be utilized to achieve authentication to access prescription-related information and action capabilities. Additionally, voice/audio interactions may be utilized in performance of processes such as obtaining prescription refills and receiving reminders to consume prescription products.

Methods and systems may incorporate voice interaction and other audio interaction to facilitate access to prescription related information and processes. Particularly, voice/audio interactions may be utilized to achieve authentication to access prescription-related information and action capabilities. Additionally, voice/audio interactions may be utilized in performance of processes such as obtaining prescription refills and receiving reminders to consume prescription products.

A sound control system for dental treatment, includes: ear-worn speakers equipped to be worn by a patient in the dentist; a microphone that converts, into an electrical signal, a sound including the voice of a medical staff in charge of the patient; a voice recognition module for recognizing the voice of the medical staff in charge from an electrical sound signal input from the microphone; a sound source module that stores a plurality of sound sources for mental and physical stability of the patient; a user interface including a sound source selection unit that allows the patient to select a play sound source provided via the ear-worn speakers from among the plurality of sound sources; and an output signal generation module for generating an output sound signal output via the ear-worn speakers.

A sound control system for dental treatment, includes: ear-worn speakers equipped to be worn by a patient in the dentist; a microphone that converts, into an electrical signal, a sound including the voice of a medical staff in charge of the patient; a voice recognition module for recognizing the voice of the medical staff in charge from an electrical sound signal input from the microphone; a sound source module that stores a plurality of sound sources for mental and physical stability of the patient; a user interface including a sound source selection unit that allows the patient to select a play sound source provided via the ear-worn speakers from among the plurality of sound sources; and an output signal generation module for generating an output sound signal output via the ear-worn speakers.

An interaction information processing method and apparatus, an electronic device and a storage medium are provided. The method comprises: generating an interaction information record based on interaction behavior data of users in an interaction process conducted by the users on a real-time interactive interface; selecting, from the interaction information record, target interaction information that satisfies a target selection condition; and displaying the target interaction information in a target area of the real-time interactive interface distinctively from other interaction information elements in the interaction information record, wherein the target interaction information is one or more interaction information elements in the interaction information record.

A method for controlling an electronic apparatus includes storing a plurality of artificial intelligence models in a first memory, based on receiving a control signal for loading a first artificial intelligence model among the plurality of stored artificial intelligence models into a second memory, identifying an available memory size of the second memory, and based on a size of the first artificial intelligence model being larger than the available memory size of the second memory, obtaining a first compression artificial intelligence model by compressing the first artificial intelligence model based om the available memory size of the second memory, and loading the first compression artificial intelligence model into the second memory.

A system described herein may provide for the adaptation and/or expansion of a natural language processing (“NLP”) platform, that supports only a limited quantity of intents, such that the described system may support an unlimited (or nearly unlimited) quantity of intents. For example, a hierarchical structure of agents may be used, where each agent includes multiple intents. A top-level (e.g., master) agent may handle initial user interactions, and may indicate a next-level agent to handle subsequent interactions.

A system described herein may provide for the adaptation and/or expansion of a natural language processing (“NLP”) platform, that supports only a limited quantity of intents, such that the described system may support an unlimited (or nearly unlimited) quantity of intents. For example, a hierarchical structure of agents may be used, where each agent includes multiple intents. A top-level (e.g., master) agent may handle initial user interactions, and may indicate a next-level agent to handle subsequent interactions.

Disclosed is gathering a user's speech samples. According to an embodiment of the disclosure, a method of gathering learning samples may gather a speaker's speech data obtained while talking on a mobile terminal and text data generated from the speech data and gather training data for generating a speech synthesis model. According to the disclosure, the method of gathering learning samples may be related to artificial intelligence (AI) modules, unmanned aerial vehicles (UAVs), robots, augmented reality (AR) devices, virtual reality (VR) devices, and 5G service-related devices.

The present disclosure is directed to enabling acquisition of information of an argument corresponding to a case. The present disclosure is a language processing apparatus which refers to an argument emergence history database 14 which stores argument emergence patterns associated with cases and arguments of verbs for each meaning of a word or usage of a verb, acquires an argument emergence pattern which matches a verb and a case of the verb included in a request from a user from the argument emergence history database 14, and generates a response to the user using an argument included in the argument emergence pattern acquired from the argument emergence history database 14.