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A Method for Determining Illegal Broadcasting Based on Keyword

A technology for illegal broadcasting and keywords, applied in speech analysis, speech recognition, instruments, etc., can solve the problems of low keyword recognition rate and low recognition accuracy, so as to improve the accuracy of results, improve the error tolerance rate, and enhance specific recognition. The effect of the function

Active Publication Date: 2021-05-28
SICHUAN UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem of low recognition rate and low recognition accuracy of keywords in existing illegal broadcast detection methods, and provides a method for judging illegal broadcasts based on keywords. Conduct training and use keywords recorded samples to train the acoustic model and text phoneme mapping table, and because we do not need complete and meaningful sentences, the error tolerance rate of recognition is improved

Method used

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  • A Method for Determining Illegal Broadcasting Based on Keyword
  • A Method for Determining Illegal Broadcasting Based on Keyword
  • A Method for Determining Illegal Broadcasting Based on Keyword

Examples

Experimental program
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Embodiment 1

[0093] Such as figure 1 Shown, the present invention realizes by following technical scheme:

[0094] Step 1, designate the required keywords, set the detection threshold based on the word length, and save it to the keyword sequence list to establish the keyword sequence list;

[0095] Step 2, recording a broadcast audio file sample containing only keywords, and using the sample to train the acoustic model to obtain a mapping between the speech characteristics of the keyword and phonemes, and loading the mapping into the acoustic model to train the acoustic model;

[0096] Step 3, defining the mapping between phonemes and required specified words, and saving the mapping into the text phoneme sequence dictionary to establish a text phoneme sequence mapping dictionary;

[0097] Step 4, receiving broadcast audio data, and grouping the audio data according to the same frequency points in the same region;

[0098] Step 5, the broadcast audio data to be identified is roughly class...

Embodiment 2

[0146] The difference between this embodiment and embodiment 1 is that it also includes the following steps:

[0147] Step 7.7, compare the speech time domain sequence Yi(n)" or Xi(n)" obtained in step 7.6 with the speech time domain sequence Yi(n) or Xi(n) obtained in step 3, and calculate the residual sequence C i (m);

[0148] Step 7.8, for residual sequence C i (m) Execute the impulsive noise removal process in steps 8.1 to 8.5 to obtain a smooth residual sequence C i (m)";

[0149] Step 7.9, smoothing the residual sequence C i (m)" is compensated to the speech time-domain sequence Yi(n)" or Xi(n)" obtained in step 7.6 to obtain a new speech time-domain sequence Wi(n).

[0150] In the present embodiment, the specific method of setting up the SVM classifier in step ten is as follows:

[0151] Step 10.1, the Chinese character content is carried out statistics to the word of two characters, three characters, four characters, obtains the illegal word with higher word fre...

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Abstract

The invention discloses a method for judging illegal broadcasts based on keywords, respectively establishing an acoustic model, a text phoneme mapping dictionary, and a keyword sequence table; and using the samples to train the acoustic model to obtain the mapping between phonetic characteristics and phonemes of keywords, And load the mapping into the acoustic model; train the text-phoneme mapping table to obtain the mapping; and load the mapping into the text-phoneme mapping table; establish the trained acoustic model, text-phoneme mapping dictionary and keyword sequence table phonetic keywords Recognition of the decoder; pre-judgment first improves the efficiency and accuracy, and through hierarchical denoising, the extracted audio is dominated by human voice features and does not have so much noise interference, which can more closely express the original recording information , remove the current noise, etc. After the audio keyword recognition results are obtained, the decision-making design for recognition is also added to improve the accuracy of the keyword recognition results and reduce the misrecognition rate.

Description

technical field [0001] The invention relates to the technical field of voice recognition, in particular to a method for judging illegal broadcasts based on keywords. Background technique [0002] With the continuous development of social economy and radio communication, the importance of radio spectrum resources has become increasingly prominent. Driven by economic interests, many illegal broadcasters purchase and set up broadcast base stations privately, broadcast false advertisements or engage in economic fraud, disrupt economic order, interfere with normal communication signals, and even cause safety accidents. Therefore, it is of great social and economic value to design effective methods for efficient automatic identification and control of illegal broadcast signals. The traditional method of identifying illegal broadcasts mostly adopts the method of manual listening and identification, which has high labor costs and is prone to mistakes. Although automatic speech rec...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G10L15/06G10L15/08G10L15/20G10L21/0216G10L21/0232
CPCG10L15/063G10L15/08G10L15/20G10L21/0216G10L21/0232
Inventor 雒瑞森熊华熠龚晓峰余艳梅冯谦费绍敏武瑞娟
Owner SICHUAN UNIV