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Technical method for mutually converting image and voice

A technology of mutual conversion and voice, applied in the field of information exchange, it can solve the problems of poor security, single storage method of voice information and image information, and no intersection of information storage methods, so as to achieve the effect of protecting security and increasing interactive interest.

Pending Publication Date: 2022-04-08
HEBEI AGRICULTURAL UNIV.
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, image information and voice information cannot be converted to each other, and the two information storage methods do not overlap. The voice information and image information storage methods are relatively simple, and the security is poor in the process of information transmission.

Method used

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  • Technical method for mutually converting image and voice
  • Technical method for mutually converting image and voice
  • Technical method for mutually converting image and voice

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Experimental program
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Effect test

Embodiment 1

[0035] Embodiment 1: The steps of the technical method of mutual transformation between the image and the voice are as follows:

[0036] Step 1: voice input;

[0037] Step 2: Carry out discrete cosine transform;

[0038] Step 3: generate numbers;

[0039] Step 4: Select graphics according to the value, and then stitch the graphics into an image;

[0040] Step 5: convert to image;

[0041] Step 6: Divide each row according to the white spacing of each row of graphics;

[0042] Step 7: Segment a single graphic according to the white spacing of each graphic;

[0043] Step 8: Correspond all the divided graphics to the corresponding numbers;

[0044] Step 9: Convert to numbers;

[0045] Step 10: Perform inverse discrete cosine transform;

[0046] Step 11: Voice output.

[0047] Wherein, in the step 1 and step 2, the collected voice information is first converted into a digital signal, and the voice is represented by a one-dimensional vector number (the sampling rate of the ...

Embodiment 2

[0049] Embodiment two: the steps of the discrete cosine transform method are as follows:

[0050] Step 1: First decompose the signal into DCT basis vectors, each number in the vector corresponds to its respective energy coefficient, and then sort according to the energy coefficient from large to small;

[0051] Step 2: According to the requirement of restoring the voice quality, select the percentage of the energy coefficient to represent the original voice data;

[0052] Step 3: After the final DCT digital signal compression, the original data becomes two vectors, one of which represents the compressed voice digital information, and the other vector represents the position information of each number, and these two sets of numbers are used to replace the original voice message.

[0053] In the step 4 and step 5, the method of converting numbers into images uses 32-bit characters to represent the original data. The images are composed of different shapes and different colors. ...

Embodiment 3

[0055] Embodiment three: first convert the image into a black and white (binary) image such as Figure 4 As shown, the part of the color image becomes a white image with a pixel value of 1, and the other white parts become a black area with a pixel value of 0, and then there are black areas with a pixel value of 0 according to each row of graphics and between each graphic features to segment the image.

[0056] The segmentation process is divided into two parts. In the first part, each row is segmented first. The segmentation process is as follows: Figure 5 As shown, first simulate a red straight line moving horizontally in the figure (the blue arrow is the moving direction), move the red straight line down from the top of the image in units of one pixel, and count the pixels occupied by the straight line during the moving process The sum of point values. When the value is not 0, it means that the red line is moving in the graphic area. When the value is 0, it means that the...

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Abstract

The invention discloses a technical method for mutual conversion of an image and voice. The technical method for mutual conversion of the image and the voice comprises the following steps: step 1, voice input; 2, discrete cosine transform is carried out; 3, generating digits; 4, selecting graphs according to the numerical values, and then splicing the graphs into an image; 5, converting into an image; step 6, segmenting each row according to the white space of each row of graphs; 7, segmenting the single graph according to the white space of each graph; step 8, enabling all the segmented graphs to correspond to corresponding numbers; step 9, converting into numbers; 10, inverse discrete cosine transformation is carried out; according to the technical method for mutual conversion of the images and the voices, the interaction interest is increased in the social contact and communication process between people, and meanwhile the safety between information communication can be protected.

Description

technical field [0001] The invention discloses a technical method for mutual conversion of images and voices, which belongs to the fields of information exchange technologies such as entertainment, communication, and social interaction. Background technique [0002] At present, image information and voice information cannot be converted to each other, and the two information storage methods do not overlap. The voice information and image information storage methods are relatively simple, and the security is poor in the process of information transmission. Contents of the invention [0003] The purpose of the present invention is to provide a technical method for mutual conversion between images and voices, so as to solve the problems raised in the above-mentioned background technology. [0004] In order to achieve the above object, the present invention provides the following technical solution: a technical method for mutual conversion of images and voice, the steps of the...

Claims

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Application Information

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IPC IPC(8): G10L21/10G10L25/48G06T7/10G06T5/50
Inventor 范晓飞
Owner HEBEI AGRICULTURAL UNIV.
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