Man-machine voice interaction method and device, storage medium and electronic device
CN122266348APending Publication Date: 2026-06-23HAIER YOUJIA INTELLIGENT TECH (BEIJING) CO LTD
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Patent Information
- Application Number
- CN202411894803.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-20
- Publication Date
- 2026-06-23
AI Technical Summary
Technical Problem
[0005]本申请实施例提供了一种人机语音交互方法、装置、存储介质及电子装置,以至少解决相关技术中,在人机语音交互过程中,自动语音识别不够准确的技术问题
Benefits of technology
[0017]在本申请实施例中,对目标对象的语音交互信息进行自动语音识别,分别得到第一中间识别文本和第二中间识别文本,其中,所述第一中间识别文本是使用第一语音活性检测策略对所述语音交互信息进行自动语音识别时得到的,所述第二中间识别文本是使用第二语音活性检测策略对所述语音交互信息进行自动语音识别时得到的,所述第一语音活性检测策略中用于检测所述目标对象停止发声的时刻所设置的停顿时长阈值低于所述第二语音活性检测策略中用于检测所述目标对象停止发声的时刻所设置的停顿时长阈值;比较所述第一中间识别文本和所述第二中间识别文本,直至所述第二中间识别文本与所述第一中间识别文本一致,基于监测到的所述语音交互信息的语音识别结束标识获取所述语音交互信息的目标识别结果;对所述目标识别结果进行自然语言处理,得到第一交互意图。基于上述技术方案,通过使用两种不同停顿时长阈值的语音活性检测策略进行自动语音识别,能够更准确地判断语音的结束点,减少误识别和漏识别的情况,解决了在人机语音交互过程中,自动语音识别不够准确的技术问题,进而提高了自动语音识别的准确性和实时性。
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Abstract
The invention discloses a man-machine voice interaction method and device, a storage medium and an electronic device, and relates to the technical field of smart home, and the method comprises the steps: carrying out the automatic voice recognition of the voice interaction information of a target object, and obtaining a first intermediate recognition text and a second intermediate recognition text, a pause duration threshold value set for detecting the moment when the target object stops sounding in the first voice activity detection strategy is lower than a pause duration threshold value set for detecting the moment when the target object stops sounding in the second voice activity detection strategy; comparing the first intermediate recognition text with the second intermediate recognition text until the second intermediate recognition text is consistent with the first intermediate recognition text, and obtaining a target recognition result of the voice interaction information based on a monitored voice recognition ending identifier of the voice interaction information; and performing natural language processing on the target recognition result to obtain the first interaction intention, thereby solving the technical problem that automatic voice recognition is not accurate enough in a man-machine voice interaction process.
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