Hi-Fi tone quality identifying method based on pattern recognition

A technology of sound quality detection and pattern recognition, applied in speech analysis, instruments, etc., can solve problems such as lack of high-frequency information

Inactive Publication Date: 2015-11-18
ZHEJIANG TIANGE INFORMATION TECH CO LTD
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Problems solved by technology

For example, some compression algorithms, in order to reduce the volume of the audio, after

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  • Hi-Fi tone quality identifying method based on pattern recognition
  • Hi-Fi tone quality identifying method based on pattern recognition
  • Hi-Fi tone quality identifying method based on pattern recognition

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Embodiment Construction

[0033] Further illustrate the present invention below in conjunction with accompanying drawing. It should be understood that the following examples are only used to illustrate the present invention, but not as a limitation of the present invention, and any modifications or replacements without departing from the spirit and essence of the present invention all belong to the scope of the present invention.

[0034] Such as figure 1 Shown is the flow chart of the present invention, because the selected music sampling rate is 44100HZ, so the maximum frequency is 22050HZ. figure 2 It is the spectrum of an ordinary Hi-Fi lossless pop song. It can be seen from the figure that the frequency of ordinary Hi-Fi lossless audio has little attenuation from 0 to the highest frequency of 22050, which also shows that Hi-Fi lossless audio is complete. The recorded information is retained. The spectrum of most Hi-Fi lossless audio is similar to it. image 3 shows the frequency spectrum of a ...

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Abstract

The invention discloses a Hi-Fi tone quality identifying method based on pattern recognition. The method includes the steps: selecting a learning sample, converting a sample time domain signal into a frequency domain signal, and making a frequency attenuation mean value every 500Hz from 11050Hz to 22050Hz serve as a characteristic, wherein twenty two characteristics are provided and numbered from one to twenty two. Through statistical learning of a lot of already labeled lossy and lossless audios, a lossless audio condition probability corresponding to a lossless audio characteristic is obtained, a lossy audio condition probability corresponding to a lossy audio characteristic is obtained, Fourier transform is performed for a to-be-measured audio, and a combined probability can be calculated and then the probability of the specific tone quality of a given audio can be reckoned after condition probabilities between the characteristics and between the characteristics and the tone quality are obtained by extracting the frequency characteristics. Through the above algorithm, a high detection success rate of real lossless audios is achieved, and a relatively low misjudgement rate of false lossless audios is guaranteed. Moreover, compared with auCDtect, the method can reach the advanced level in the industry.

Description

technical field [0001] The invention relates to audio signal processing and, in particular, to a Hi-Fi sound quality detection method based on pattern recognition. Background technique [0002] Hi-Fi audio refers to the original CD audio. This type of audio is produced by major record companies, etc., using professional recording and reverberation equipment to sample and quantify the original sound information, and has not undergone spectrum clipping, so the original frequency bands are retained. Information. [0003] With the rapid popularization of the Internet and the increase of bandwidth, people's requirements for music quality are getting higher and higher, and the exchange of lossless music resources is also transitioning from music enthusiasts to the general public. But how to identify the authenticity of such resources, music lovers and music companies have an urgent need. Although manual detection has a high accuracy rate, it is only applicable to individuals. Fo...

Claims

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Application Information

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IPC IPC(8): G10L25/60
Inventor 王红梅刘华平周建政黄金海
Owner ZHEJIANG TIANGE INFORMATION TECH CO LTD
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