Acoustic fidelity identification method and system for audio files

Abstract

The invention provides an acoustic fidelity identification method and an acoustic fidelity identification system for audio files. The identification method includes dividing the audio files into a plurality of audio clips, converting each audio clip into a frequency domain, calculating an average cutoff frequency of the audio files through an energy value corresponding to the frequency domain of each audio clip. The average cutoff frequency reflects the loss or compression degree of audios in a high frequency, a high cutoff frequency means low degree of loss or compression of audios in the high frequency, therefore the acoustic fidelity is high; and otherwise, the acoustic fidelity is low. The method further includes establishing a referential cutoff frequency, comparing the referential cutoff frequency with the calculated cutoff frequency of the audio files, and identifying the acoustic fidelity of the audio files quickly and accurately according to the comparison result. The Acoustic fidelity identification method and the system for the audio files are simple in calculation because all the calculations are simple comparison and averaging except data conversion into the frequency domain through Fourier transform, are high in applicability, and have good identifying effects on the audios converted from a source of low bitrate into high bitrate.

Description

Technical field [0001] The invention relates to the technical field of audio file quality detection, in particular to an audio file sound quality recognition method and an audio file sound quality recognition system. Background technique [0002] Sound quality recognition technology has broad application fields and prospects. At present, the main applications include audio file quality detection and identification, audio compression and format conversion technology for audio quality loss detection and identification, and fault detection of hardware equipment and software environments in recording systems , Piracy identification of audio and video products, and quality evaluation of various musical instruments, electronic onomatopoeia equipment, and playback equipment. Among them, audio file quality detection and identification is the most mature field in the current sound quality recognition technology. [0003] Audio file quality detection plays a vital role in voice control tech...

AI Technical Summary

Problems solved by technology

[0008] 1. Waste of calculation: Due to the backward calculation method, the calculation time is too long, and the consumption of hardware resources and energy is relatively large

[0009] 2. The calculation path cannot be clearly determined: because the recognition technology uses a forward-backward two-line calculation method, resulting in a single calculation path, which affects the accuracy of certain voice range recognition

Images