Broadcast signal prejudging and preprocessing method
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A broadcast signal and preprocessing technology, applied in voice analysis, voice recognition, instruments, etc., can solve problems such as low efficiency, operator fatigue, easy to cause mistakes, and high misrecognition rate
Active Publication Date: 2019-09-24
SICHUAN UNIV +1
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Problems solved by technology
The traditional radio electromagnetic spectrum control is mainly based on the method of manual listening and identification, which has the disadvantages of high cost, low efficiency, operator fatigue and easy to cause mistakes; with the development of artificial intelligence, the method of using artificial intelligence technology to identify black radio Also began to enter into the research, however, because broadcasting usually does not have high requirements on sound quality, broadcasting recordings are usually very noisy, such as current noise, external environmental sounds, speaker modal particles, etc. The accuracy of the results is very low and the false recognition rate is high
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Embodiment 1
[0087] Such as figure 1 As shown, a broadcast signal prediction preprocessing method includes the following steps:
[0088] Step 1, intercept the speech segment, carry out coarse segmentation to it, and separate out containing the speech segment and not containing the speech segment; Definition contains the speech time domain sequence of the speech segment as X (n), abandons not containing the speech segment;
[0089] Specifically in this embodiment, the broadcast audio segment to be identified is divided into several sub-sections with a length of 3-5 seconds per segment, and the total number of segments obtained is recorded, and the Mel spectrogram of each sub-section is loaded into the convolutional network for The standard of "speech-based / non-speech-based" is classified into two categories, and the segment containing speech and the segment without speech are separated; the segment containing speech is defined as X(n), and the segment without speech is discarded;
[0090] ...
Embodiment 2
[0145] The difference between this embodiment and Embodiment 1 is that this embodiment adds the following steps in Step 4:
[0146] Step 4.7, compare the speech time domain sequence Yi(n)" or Xi(n)" obtained in step 4.6 with the speech time domain sequence Yi(n) or Xi(n) obtained in step 3, and calculate the residual sequence C i (m);
[0147] Step 4.8, for residual sequence C i (m) Execute the filtering process in step 4 to obtain a smooth residual sequence C i (m)";
[0148] Step 4.9, smoothing the residual sequence C i (m)” is compensated to the speech time-domain sequence Yi(n)” or Xi(n)” obtained in step 4.6 to obtain a new speech time-domain sequence Wi(n).
[0149] Since the initial signal has a lot of impulsive noise, it is smoothed after the filtering in step 4, so the residual error corresponding to this frequency band is often very large, so the residual error is processed by median smoothing and linear smoothing, so that Get a set of "normal" and "clean" resi...
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Abstract
The invention discloses a broadcast signal prejudging and preprocessing method. The method includes the steps that a speech segment is intercepted, and the segment with the speech and the segment without the speech are separated; a speech time domain sequence containing the segment with the speech is subjected to framing and sliding window adding to obtain a speech time domain sequence, the additive noise is removed, and a speech time domain sequence after additive noise removal is obtained; the speech time domain sequence is filtered to obtain a speech time domain sequence after impulse noise removal; a recirculating network neural model is established, the segment with the speech after impulse noise removal is screened, and a first speech segment containing standard Chinese speeches only and a second speech segment containing both the standard Chinese speeches and the background music are screened out; and the background music of the second speech segment is separated from the standard Chinese speeches. A pure broadcast recording file for eliminating the current noise, the ambient sound, speaker modal particle and the background music is obtained, thus the accuracy of results obtained by keyword recognition is improved, and the mis-recognition rate is decreased.
Description
technical field [0001] The invention relates to a broadcast signal processing technology, in particular to a broadcast signal pre-judgment and pre-processing method. Background technique [0002] Radio electromagnetic spectrum control is an important part of economic production and safety precautions. Due to the openness of radio broadcasting technology itself, all users who need to transmit can broadcast by transmitting signals only by occupying a specific frequency band. Therefore, users for different purposes often occupy frequency bands outside the approved frequencies for broadcast transmission (commonly known as "black broadcast"). [0003] Black broadcasting mainly sells counterfeit and shoddy products, seriously disrupting the economic order; or disrupting the normal operation of electronic communication; in some cases, it even interferes with key communication equipment (such as aircraft communication frequency bands), causing serious safety hazards. Therefore, eff...
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