一种用于校园防欺凌的语音识别方法、装置、设备及介质

本发明涉及大数据处理技术领域,具体涉及一种用于校园防欺凌的语音识别方法、装置、设备及介质。本发明在判断出预设环境中的语音数据存在预设命令词后在雷达同时识别到人体时才进行后续防欺凌检测,防止噪声导致的误检;后续通过在去除业务场景以及在预设业务场景下分别训练所得第一、第二自然语言模型对语音数据进行情感分析,排除正常对话提及预设命令词而导致的错检,且第一、第二自然语言模型分别适用普适场景和针对场景的情感区分,最终在以语音识别方式对欺凌类型进行识别的过程中,达到了同时具备较高的场景适用性和判断准确度的技术效果。 The invention relates to the technical field...

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Format Patent
LanguageChinese
Published 07.03.2025
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Summary:本发明涉及大数据处理技术领域,具体涉及一种用于校园防欺凌的语音识别方法、装置、设备及介质。本发明在判断出预设环境中的语音数据存在预设命令词后在雷达同时识别到人体时才进行后续防欺凌检测,防止噪声导致的误检;后续通过在去除业务场景以及在预设业务场景下分别训练所得第一、第二自然语言模型对语音数据进行情感分析,排除正常对话提及预设命令词而导致的错检,且第一、第二自然语言模型分别适用普适场景和针对场景的情感区分,最终在以语音识别方式对欺凌类型进行识别的过程中,达到了同时具备较高的场景适用性和判断准确度的技术效果。 The invention relates to the technical field of big data processing, in particular to a voice recognition method, device and equipment for campus spoofing prevention and a medium. According to the invention, after the voice data in the preset environment is judged to have the preset command word, subsequent anti-spoofing detection is carried out only when the radar recognizes the human body at the same time, so that false detection caused by noise is prevented; and subsequently, performing sentiment analysis on the voice data through the first natural language model and the second natural language model which are obtained through training in a business scene removal process and a preset business scene, eliminating error detection caused by the fact that a nor
Bibliography:Application Number: CN202410897024