Audio arithmetic coding method based on time-frequency plane context

An audio coding and arithmetic coding technology, which is applied in the field of audio arithmetic coding based on time-frequency plane context, can solve the problems that adaptive context arithmetic coding is not widely used and not fully utilized, so as to save audio transmission bandwidth and improve coding efficiency Effect

Inactive Publication Date: 2015-04-08
BEIJING INSTITUTE OF TECHNOLOGYGY
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AI Technical Summary

Problems solved by technology

Adaptive context arithmetic coding is not widely used in audio coding, especially the quantized audio parameters have not been fully utilized, and how to improve audio parameters has not been considered from the joint perspective of time domain and frequency domain context Arithmetic coding efficiency of

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  • Audio arithmetic coding method based on time-frequency plane context
  • Audio arithmetic coding method based on time-frequency plane context
  • Audio arithmetic coding method based on time-frequency plane context

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Embodiment Construction

[0028] The example of the present invention is improved based on the G.719 low-complexity full-band audio encoder, input 48kHz sampling monophonic audio signal, 16bit linear PCM encoding, and there are 7 encoding rates from high to low: 32kbps, 48kbps, 64kbps, 80kbps , 112kbps, 128kbps. 20ms per frame, 960 PCM samples.

[0029] Select 32kbps encoding rate, for each frame of audio signal, use the audio arithmetic encoding process based on time-frequency plane context as follows:

[0030](1) Use discrete cosine transform (MDCT, Modified Discrete Cosine Transform) and fast lattice vector quantization to obtain quantized MDCT coefficients for each frame of audio signal;

[0031] (2) Use the frequency domain context for quantized MDCT coefficients, that is, count the first-order conditional frequency f(x of each quantized MDCT coefficient i |s), where x i ∈0~m-1, i=960, m-1 represents the maximum value of quantized MDCT coefficients, taking m=32 as an example, the maximum value ...

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Abstract

The invention relates to an audio arithmetic coding method based on time frequency plane context and belongs to the field of coding, wherein probability of an audio coding parameter can be self adapted. The audio arithmetic coding method based on the time frequency plane context is characterized in that firstly modified discrete cosine transformation (MDCT) and vector quantization are carried out on sound signals of each frame, and then context distribution and probability modeling are carried out on MDCT factors which are quantified. During the process, frequency domain contexts are firstly used for quantifying the MDCT factors, namely, statistics of first order condition frequency of the MDCT factors to be coded and quantified is carried out, after statistics of the first order condition frequency of each MDCT factor is carried out by the utilization of each frequency domain context, and final first order condition frequency is sent to an arithmetic encoder to be coded. The audio arithmetic coding method based on the time frequency plane context can keep good audio coding quality, meanwhile, reduce average coding rate of audio signals, and then improve coding efficiency of the audio encoder.

Description

technical field [0001] The invention relates to an audio arithmetic coding method based on a time-frequency plane context, in which the probability of audio coding parameters can be self-adaptive, and is suitable for audio signals after discrete cosine transform (MDCT, Modified Discrete Cosine Transform) and quantization processing. An encoding method belongs to the technical field of audio encoding. Background technique [0002] Digital audio signals require a large bandwidth during transmission and a large amount of storage space during storage. With the development of entropy coding, such as Huffman coding and arithmetic coding, the bandwidth requirement is greatly reduced, and no information loss is introduced. The entropy coding method removes the redundant information of the source. Compared with the lossy data compression method, the vector quantization method is to remove redundant information that is subjectively inaudible to people. Most encoders use lossy compr...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G10L19/038
Inventor 王晶纪璇匡镜明
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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