Voice control method for large screen and terminal
The voice control method for large screens addresses the inefficiency of manual control by using voiceprint and semantic recognition to securely and accurately operate educational devices without physical interaction.
CN119252263APending Publication Date: 2025-01-03FUJIAN NETDRAGON WEBSOFT CO LTD
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Patent Information
- Application Number
- CN202310807006.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-07-03
- Publication Date
- 2025-01-03
AI Technical Summary
Technical Problem
Teachers are unable to remotely and efficiently control large screens in educational settings due to the need for manual interaction, such as touch and page turners, which is cumbersome and inefficient.
Method used
A voice control method and terminal that utilizes voiceprint recognition to confirm identity and then performs semantic recognition using an acoustic model combined with a language model to accurately control large screens, allowing contactless operation.
Benefits of technology
The method enhances accuracy and reduces computing load by confirming identity through voiceprint recognition, improving semantic recognition and enabling secure, efficient, and accurate voice control of large screens.
✦ Generated by Eureka AI based on patent content.
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Figure CN119252263A_ABST
Abstract
The invention discloses a voice control method for a large screen and a terminal, and the method comprises the steps: obtaining a sound signal for voiceprint recognition, and carrying out the semantic recognition of the sound signal in a mode of combining an acoustic model with a language model if the voiceprint recognition is passed, and obtaining a semantic recognition result; and awakening a control program according to the semantic recognition result, and running the control program according to the semantic recognition result to control the large screen. According to the method, in the voice recognition process, the acoustic model is combined with the language model, the voice features and the features of the information in the voice are synthesized, the semantic recognition accuracy is improved, finally, the control program is awakened according to the voice recognition result to control the large screen, and therefore non-contact control over the large screen is achieved; the accuracy of a semantic recognition result is improved through a semantic recognition mode in which voiceprint confirmation is matched with the combination of the acoustic model and the language model.
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