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

An air conduction, speech enhancement technology, applied in speech analysis, instruments, etc., can solve problems such as head movement, gestures, lip movements, heartbeat, breathing, affecting the quality of speech signals, and complex signal components when speaking

Inactive Publication Date: 2012-05-30
FOURTH MILITARY MEDICAL UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

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 complex, the amplitude is stronger, and most of them are aliased with the spectrum of the speech signal, which seriously affects the quality of the speech signal.

Method used

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

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Embodiment Construction

[0036] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0037] see figure 1 , the present invention first carries out wavelet packet transformation 1 after digitizing the received radar non-air conduction voice signal; the obtained wavelet packet coefficients are processed in two aspects: one is to calculate the global threshold 2; the other is to calculate the Teager energy Operator 3, and then calculate the second-order low-pass filter 4, thereby generating a time-adaptive mask 5. Using the generated time-adaptive mask 5, combined with the global threshold 2, a time-scale adaptive threshold 6 is obtained. The wavelet packet coefficients are thresholded 7 by using this time-scale adaptive threshold, and the enhanced speech is obtained through wavelet packet reconstruction 8 .

[0038] The specific steps are as follows:

[0039] 1) Firstly, the radar non-air conduction voice signal is sampled and A / D converted,...

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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.

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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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G10L21/02
Inventor 李盛王健琪荆西京牛明
Owner FOURTH MILITARY MEDICAL UNIVERSITY
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