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MP3 compressed domain audio self-adaptation noise reduction method

An audio noise reduction and compression domain technology, which is applied in speech analysis, instruments, etc., can solve the problems of reducing the efficiency of compressed audio, the impact of the accuracy of audio classification retrieval algorithms, and the time-consuming, etc., to achieve good results and save computing time. Method simple effect

Inactive Publication Date: 2010-12-29
SHANGHAI UNIV
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AI Technical Summary

Problems solved by technology

However, in the case of noise mixed in the compressed audio, the accuracy of the audio classification retrieval algorithm is seriously affected
Usually, it takes a lot of time to decompress the compressed domain audio containing noise first, and then perform noise reduction processing, which will inevitably reduce the efficiency of various processing of compressed audio

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  • MP3 compressed domain audio self-adaptation noise reduction method
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Embodiment Construction

[0016] A preferred embodiment of a kind of MP3 compressed domain audio adaptive noise reduction method of the present invention is described as follows in conjunction with accompanying drawing: A kind of MP3 compressed domain audio adaptive noise reduction method is divided into five steps altogether:

[0017] Step 1: Preprocessing of noisy MP3 compressed audio

[0018] Preprocessing of noisy MP3 compressed audio includes four parts: decoding MP3 frame header, obtaining side information, reading main data and scaling factor, Huffman decoding and dequantization.

[0019] 1. Acquisition of synchronous data stream and frame header information

[0020] A), according to the MP3 encoding format, search for synchronous information from the MP3 data stream;

[0021] B), according to synchronous information, find the starting position of each frame data in the MP3 data flow;

[0022] C), after determining the starting position of the data frame, obtain the frame header information He...

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Abstract

The invention relates to an MP3 compressed domain audio self-adaptation noise reduction method. The method is directly used for noise reduction on MP3 compressed domain. Firstly, MDCT coefficient is extracted from MP3 audio data containing noise, and activity detection is carried out on MP3 audio based on MDCT spectrum energy characteristic, so as to distinguish active audio band and mute band. Meanwhile a normal inverse Gaussian (NIG) distribution function is adopted to carry out prior statistic modelling on the MDCT coefficient according to the sparse property of the MDCT coefficient after MDCT coefficient is extracted form MP3 compressed audio data. Then a maximum posterior probability estimator based on NIG prior probability model is designed according to Bayesian theory, so as to obtain corresponding audio band attenuation factor. In the attenuation noise part, the attenuation factor is utilized to attenuate noise of the audio band, and attenuation iteration number is adaptively adjusted according to the attenuation weight of mute band audio, so as to realize noise reduction. Experiment result shows that noise in MP3 audio can be effectively eliminated by adopting the noise reduction algorithm of the invention, signal to noise ratio of compressed audio is improved, and MP3 audio after noise reduction has good quality.

Description

technical field [0001] The invention relates to an audio adaptive noise reduction method in an MP3 compressed domain, mainly for realizing the adaptive noise reduction processing method for the MP3 audio containing noise directly in the MP3 compressed domain under different Gaussian white noise conditions. Background technique [0002] Audio noise reduction technology refers to the use of signal processing and pattern recognition methods to remove noise from audio containing noise, so that the audio after noise removal has a higher signal-to-noise ratio and better quality. Audio noise reduction is one of the key technologies to be solved in the field of audio signal processing. [0003] A large amount of audio data in the Internet and various databases are stored in compressed format. How to process audio data in the compressed domain has become a hot spot in the field of audio research. Scholars at home and abroad have done a lot of research on the segmentation, classifica...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L21/02G10L21/0216
Inventor 余小清许雪琼张静刘军伟万旺根
Owner SHANGHAI UNIV
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