Short-wave channel voice enhancement method

A voice enhancement, shortwave channel technology, applied in the field of communication, can solve problems such as large amount of calculation, complex model structure, etc., achieve good noise reduction effect, good noise suppression effect, and improve the effect of noise reduction voice quality

Active Publication Date: 2021-04-09
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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AI Technical Summary

Problems solved by technology

[0004] In recent years, with the rapid development and wide application of deep learning, speech enhancement methods based on deep learning have become the main research direction of speech enhancement. These methods mainly include three types: masking-based, mapping-based

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  • Short-wave channel voice enhancement method

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specific Embodiment

[0037] A specific embodiment includes the following steps:

[0038] Step 1: From the above TIMIT speech training data set x train Constructing shortwave speech dataset with channel fading and the noisy speech dataset

[0039]

[0040]

[0041] where n train Additive noise for the specified signal-to-noise ratio, "*" means convolution. To obtain 9000 fading shortwave voice data sets x train and the noisy speech dataset The two processed data sets and the pure speech data set are subjected to short-time Fourier transform (STFT) for feature extraction to obtain the amplitude spectrum data set of the corresponding speech signal and|X train |, go to step 2.

[0042] Step 2: Train the fading compensation convolutional neural network model (Anti-fading Net), and use the fading shortwave speech amplitude spectrum data set obtained in step 1 As input signal, the noisy speech magnitude spectrum dataset As a goal, perform convolutional neural network training accord...

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Abstract

The invention discloses a short-wave channel speech enhancement method, and belongs to the technical field of communication. According to the invention, a neural network is applied to a short-wave communication voice denoising module, and the same convolutional neural networks based on mapping are selected according to the performance requirements and characteristics of Anti-fading Net and Denoising Net, so that a better noise suppression effect can be achieved; a convolutional neural network denoising model Denoising Net is combined with an existing classic unsupervised speech enhancement algorithm OMLSA, the denoising advantages of the two algorithms are reserved in an equal gain combination mode, and therefore the de-noised speech quality of a Denoising Net or OMLSA algorithm which is independently used is improved; and thirdly, by stacking the two convolutional neural networks with simple structures, a better denoising effect than that of a common neural network with a complex structure is obtained.

Description

technical field [0001] The invention belongs to the technical field of communication, and relates to a short-wave speech enhancement method using a neural network combined with a non-supervised algorithm. Background technique [0002] Short-wave communication realizes long-distance communication through the ionosphere. It is an indispensable last means of communication for emergency and military communications. At the same time, it is also popular among amateur radio enthusiasts due to its low cost and high flexibility of communication equipment. Due to the time-varying characteristics of the ionosphere, the short-wave real-time passable frequency band is very narrow, and the voice signal usually adopts the analog single-sideband (Single-sideband, SSB) modulation method, and the quality of the voice signal received after long-distance transmission is often poor, seriously Affect the hearing comfort; because the SSB signal cannot adopt the method of digital signal processing ...

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Application Information

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IPC IPC(8): G10L21/0216G10L25/30
CPCG10L21/0216G10L25/30
Inventor 陈延涛董彬虹张晓雪韩耀华刘天昊
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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