Non-air conduction speech enhancement method based on wavelet-packet energy

An air conduction and speech enhancement technology, applied in speech analysis, instruments, etc., can solve problems such as head movement, gestures, lip movement, heartbeat, breathing, affecting the quality of speech signals, and complex signal components when speaking.
CN101625869AInactive Publication Date: 2010-01-13FOURTH MILITARY MEDICAL UNIVERSITY
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
FOURTH MILITARY MEDICAL UNIVERSITY
Publication Date
2010-01-13
Estimated Expiration
Not applicable Β· inactive patent

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Abstract

The invention relates to a non-air conduction speech enhancement method based on wavelet-packet energy; based on decomposing and reconstructing speech signals by applying wavelet packet analyzing technique, threshold valve self-adaption adjustment is carried out on decomposed wavelet-packet coefficients from two aspects of scale and time, and then the coefficients are reconstructed so as to realize noise self-adaption elimination of the speech signals, thus realizing algorithmic availability and stronger pertinence. The embodiment of the method shows that the non-air conduction speech enhancement method can effectively make up the weakness of the poor pertinence of the traditional speech enhancement method, has high execution efficiency and obvious effect; therefore, the method has stronger practical value and application prospect.
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Description

technical field

[0001] The invention belongs to the technical field of voice signal detection and collection and voice enhancement, and in particular relates to a non-air conduction voice enhancement method based on wavelet packet energy. Background technique

[0002] The non-air conduction detection technology of voice refers to the use of other media other than air to conduct sound. A large number of experimental data show that the interference components of speech signals detected by radar waves are much more complicated than those by ordinary acoustic sensors. The interference mainly comes from the following aspects: (a) Body movement interference when the target speaks. Such as head movement, gestures, lip movement, heartbeat, breathing, etc. when speaking; (b) the harmonics of radar waves, channel noise and additional noise of the voice detection system hardware itself; (c) interference from external environmental noise, The components of these noise signals are comp...

Claims

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