A color complex language spectrogram construction method that can realize speech reconstruction

Abstract

The invention provides a colored repeated sentence spectrum construction method for speech reconstruction, and belongs to the technical field of speech signal processing. The method is characterized in that two color channels respectively serve as a real part and an imaginary part in fourier transform; the position coordinates of R-B synthetic color in an R-G-B color space are corresponding to the real part and the imaginary part in the fourier transform, wherein G is the symbolic combination of the real part and the imaginary part. According to the method, the real part, the imaginary and the symbols of the real part and the imaginary, corresponding to the repeating number, can be analyzed according to the R-G-B color ratio; the speech spectrum is subjected to image processing, then the speech is reconstructed, thus the fourier transform can be performed by enhancing the speech by the image processing technology and the like, and as a result, the speech reconstruction is realized.

Description

technical field [0001] The invention belongs to the field of speech signal processing, and relates to a method for constructing a visual color spectrogram capable of realizing speech reconstruction. Background technique [0002] As a useful tool for speech analysis and phonetics, spectrogram is a readable symbol system for studying speech information. It will show the closely related time-domain and frequency-domain features and their relationship at the same time, which is impossible for a simple time-domain signal or frequency-domain signal or a simple juxtaposition of the two signals. Therefore, the amount of information carried by the spectrogram is far greater than the sum of the amount of information carried by purely time-domain signals and purely frequency-domain signals. Recently, it can be seen that the research includes using image processing technology for texture feature extraction, combined with subsequent classifiers to identify and confirm the voice identity...

AI Technical Summary

Problems solved by technology

[0003] However, in previous studies, most of the spectrograms exist as a visual display of spectrogram features, and the actual data source for analysis is still the original speech signal data rather than the spectrogram itself.

Especially since the spectrogram is a visual expression of the amplitude-frequency characteristics of speech and lacks phase information, it is impossible to reconstruct speech based on the spectrogram

Although the color spectrogram is based on three color channels, it is a pseudo-color image of the grayscale spectrogram, and does not increase the information dimension because of the color

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