A method and device for analyzing audio data

Abstract

The invention discloses an audio data parsing method and device. The method comprises the steps of receiving audio data, filtering the audio data in the sliding average filtering mode, establishing a data point diagram for the filtered audio data according to a preset two-dimensional sampling data rule, dividing sampling data points in the data point diagram into two parts by means of a straight line, determining the bit information of the audio data according to the division result and the property of the straight line, and parsing the audio data. According to the invention, the parsing accuracy of audio data is improved, and the parsing application range is expanded.

Description

Technical field [0001] The invention belongs to the field of computer and network technology, and in particular relates to an audio data analysis method and device. Background technique [0002] With the popularization of mobile devices, mobile devices such as smart phones have become more and more widely used, and with the popularization of mobile networks, the use of mobile apps (applications) has also exploded. At present, transferring data between mobile devices through audio signal transmission has become a ubiquitous technology, especially in applications such as mobile payment and mobile phone file transfer. [0003] In the prior art, the commonly used modulation method Frequency-shift keying (FSK) uses the frequency change of the carrier to transmit digital information. It uses the discrete value feature of the baseband digital signal to key the carrier frequency to transmit information. A digital modulation technology, F2F (frequency / double frequency) is one of the modula...

AI Technical Summary

Problems solved by technology

[0004] The above existing technologies can only handle waveform signals with obvious frequency changes, but with the rise of the open source android system, there are many types of mobile phones, and the use of audio communication may lead to signal distortion at the hardware level, and the final frequency change of the signal is not obvious

Therefore, the above-mentioned existing technologies cannot handle models with obvious signal distortion, and the application range is limited. As a result, in practical applications, many mobile phones cannot correctly analyze audio data, which affects related applications involving audio data transmission.

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