Multi-Device Voice Response Selection Under Noise and Distance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Voice output devices struggle to properly recognize and respond to user voices due to noise within the device, distance from the speaker, and surrounding noise, leading to ineffective delivery of responses.
Innovation Solution
An intelligent voice output method that selects an appropriate response device based on recognition state information, determines spoken distance and noise levels, and adjusts response intensity using microphone detection signals and noise information, leveraging a 5G wireless communication system for noise modeling and device state integration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a voice output device uses a preset voice for control, then the device can respond to user commands, but the voice recognition accuracy deteriorates due to noise within the device, distance from speaker, or surrounding noise
Solution Approach 1:
The system uses feedback from multiple voice output devices to determine recognition state information. Each device provides feedback on its ability to recognize the preset voice, and this feedback is used to select the most appropriate device for response delivery, thereby resolving the contradiction between response effectiveness and recognition accuracy
Solution Approach 2:
Multiple voice output devices are employed, each capable of both issuing preset voices and receiving recognition state information. This multi-functionality allows the system to simultaneously perform control operations and evaluate recognition conditions across different devices, selecting the optimal device for each interaction
2Adaptability or versatility
If the voice output device operates in noisy environments or at distances from the speaker, then the device can maintain operational functionality, but the voice recognition reliability deteriorates
Solution Approach 1:
The system obtains recognition state information from multiple devices to assess their performance under different environmental conditions. This feedback mechanism enables the system to identify which devices maintain reliability in noisy or distant conditions and select them for response delivery
Solution Approach 2:
The system dynamically selects the appropriate voice output device based on real-time recognition state information. This dynamic adaptation allows the system to maintain reliability by choosing devices that are currently in optimal conditions, rather than relying on a fixed preset device
Data Source
AI summary
Provided are an intelligent voice output method, a voice output device and an intelligent computing device. An intelligent voice output method includes obtaining a voice from a plurality of voice output devices, selecting a device for a response to the voice, and controlling the response device based on recognition state information of the voice recognized by the response device so that the response device outputs the response. Accordingly, a response from a voice output device can be clearly delivered to a user. One or more of the voice output devices, intelligent computing devices, and servers of the present invention may include artificial intelligence modules, drones (Unmanned Aerial Vehicles, UAVs), robots, Augmented Reality (AR) devices, and virtual reality (VR) devices, devices related to 5G services, and the like.