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Method for judging illegal broadcasting based on keywords

A technology of illegal broadcasting and keywords, applied in speech analysis, speech recognition, instruments, etc., can solve the problems of low recognition accuracy and low keyword recognition rate.

Active Publication Date: 2019-10-01
SICHUAN UNIV +1
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  • Summary
  • Abstract
  • Description
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  • 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

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  • Method for judging illegal broadcasting based on keywords
  • Method for judging illegal broadcasting based on keywords
  • Method for judging illegal broadcasting based on keywords

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 filtering process in step 4 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 frequency;

[0152] Step 1...

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Abstract

The invention discloses a method for judging illegal broadcasting based on keywords. An acoustic model, a word phoneme mapping dictionary and a keyword sequence table are established correspondingly;the acoustic model is trained through a sample to obtain mapping between the phonetic characteristics and phonemes of keywords, and mapping is loaded into the acoustic model; a text phoneme mapping table is trained to obtain mapping; mapping is loaded into the text phoneme mapping table; and the trained acoustic model, the word phoneme mapping dictionary and the keyword sequence table phonetic keywords are used for establishing a recognition decoder. Pre-judgement is conducted first, the efficiency and the accuracy are improved, through hierarchical denoising, the extracted audio frequency which is mainly characterized by the human voice and has little noise interference can more approximatively express original recording information, the current noise and the like are removed, after the result of the audio frequency is obtained by keyword recognition, decision design for recognition is also added, and then the accuracy of the result obtained by keyword recognition is improved, so thatthe misrecognition rate is decreased.

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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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