A real-time recognition and correction system for lying state
A state recognition and state technology, applied in speech analysis, instruments, etc., can solve the problems of easy delay, long judgment cycle, poor timeliness, etc., and achieve the effect of avoiding the interference of wrong information, obtaining information quickly, and improving authenticity
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Embodiment 1
[0022] refer to figure 1 As shown, this embodiment discloses a real-time lying state recognition and correction system, including a speech input module, a sample classification module, a speech recognition module, a lying state recognition module, a speech dictionary, an identification module, a correction module and an output module.
[0023] Voice input module:
[0024] The above voice input module is a microphone. The voice input module is used for collecting voice signals.
[0025] Sample classification module:
[0026] The above-mentioned sample classification module is in communication connection with the voice input module. The sample classification module is used to distinguish the voice signals of the questioner and the person being questioned, and perform noise reduction at the same time. The voice signal of the questionee extracted by the sample classification module can be sent to the semantic recognition module and the lying state recognition module at the sam...
Embodiment 2
[0052] refer to figure 2 As shown, this embodiment discloses a system for real-time recognition and correction of a lying state, including a speech input module, a sample classification module, a speech recognition module, a lying state recognition module, a voice dictionary, an identification module, a correction module, an output module, and a manual correction module , a large database and a question generation module.
[0053] Voice input module:
[0054] The above voice input module is a microphone. The voice input module is used for collecting voice signals.
[0055] Sample classification module:
[0056] The above-mentioned sample classification module is in communication connection with the voice input module. The sample classification module is used to distinguish the voice signals of the questioner and the person being questioned, and perform noise reduction at the same time. The sample classification module can send the extracted speech signals of the question...
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