HANDLING VOICE INPUT BASED ON SLOTS WITHIN VOICE INPUT BY VOICE ASSISTANT DEVICE

    公开(公告)号:US20250014578A1

    公开(公告)日:2025-01-09

    申请号:US18795487

    申请日:2024-08-06

    Abstract: A method for handling voice input by voice assistant device are provided. The method includes receiving, by the voice assistant device, a voice input from a user; identifying, by the voice assistant device, at least one first user intent and a plurality of slots based on the voice input, wherein the plurality of slots may include at least one slot related to the at least one first user intent and at least one slot unrelated to the at least one first user intent; identifying, by the voice assistant device, at least one second user intent based on the voice input and the at least one slot unrelated to the at least one first user intent; and performing, by the voice assistant device, at least one first operation based on the at least one first user intent and at least one second operation based on the at least one second user intent.

    METHOD AND SYSTEM FOR CONTEXTUAL DEVICE WAKE-UP IN MULTI-DEVICE MULTI-REALITY ENVIRONMENTS

    公开(公告)号:US20250006195A1

    公开(公告)日:2025-01-02

    申请号:US18883463

    申请日:2024-09-12

    Abstract: A method for waking up a device among a plurality of devices in in a multi-reality environment is provided. The method includes detecting a voice input from a user, receiving, based on the voice input, a first plurality of wakeup parameters associated with a plurality of real-world devices in the real-world and a second plurality of wakeup parameters associated with a plurality of virtual-world devices in a virtual world, feeding the first plurality of wakeup parameters and the second plurality of wakeup parameters into a pre-trained artificial intelligence (AI)-based model a correlation of one or more of a context of the user, a history a device state of each of the plurality of real-world devices and the plurality of virtual-world devices, a device wakeup operation information of each of the plurality of real-world devices and the plurality of virtual-world devices, a task execution information of each of the plurality of real-world devices and the plurality of virtual-world devices, and error information in wake-up of each of the plurality of real-world devices and the plurality of virtual-world devices, predicting, by the pre-trained AI-based model, a target device based on the first plurality of wakeup parameters, the second plurality of wakeup parameters, and sending a wake-up signal to the target device for turning the target device into a listening state.

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