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Audio signal classification apparatus and method used in wideband audio encoder and decoder

A codec and audio signal technology, applied in speech analysis, instruments, etc., can solve problems such as structural redundancy and low classification performance of sound classifiers, achieve architecture optimization, remove code redundancy and complexity redundancy, and improve The effect of accuracy

Inactive Publication Date: 2009-03-25
ZTE CORP
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem solved by the present invention is to provide an audio signal classification device in a wideband audio codec, which solves the problem of low classification performance and redundant structure of the sound classifier in the AMR-WB+ encoder

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  • Audio signal classification apparatus and method used in wideband audio encoder and decoder
  • Audio signal classification apparatus and method used in wideband audio encoder and decoder
  • Audio signal classification apparatus and method used in wideband audio encoder and decoder

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Embodiment Construction

[0028] Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0029] refer to figure 1 As shown, the audio signal classification device 10 in the wideband audio codec will be described in detail. The audio signal classification device 10 includes: a background noise estimation control module 11 , a signal initial classification module (PSC) 12 , a classification parameter extraction module 13 and a signal classification decision module 14 .

[0030] The encoder parameter extraction module 20 is used to provide the audio signal classification device 10 with necessary sub-band energy parameters, thereby reducing resource consumption and computational complexity. The encoder parameters provided by the encoder parameter extraction module 20 include: sub-band energy, Lsf coefficient vector, open-loop gene gain, open-loop gene delay, and pitch flag. After the subband energy parameters are calculated, whether ...

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PUM

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Abstract

The invention discloses an audio signal sorting device in a broadband audio codec, wherein a background noise estimating and controlling module is used for receiving the spectral distribution parameter of a sorting parameter extracting module and sending the update rate to a signal initial sorting module; the signal initial sorting module is used for carrying out the initial sorting of the audio input signal according to the sub-band energy parameter and the update rate, and sending the initial sorting results to a sorted parameter extracting module and a signal sorting determining module; the sorted parameter extracting module is used for extracting and sorting the input signals, sending the sorting characteristic parameter of the acquired signal to the signal sorting determining module and feeding the acquired spectral distribution parameter back to the background noise estimating and controlling module at the same time; and the signal sorting determining module is used for setting the final sorting mark for the sorting characteristics parameter according the initial sorting results, wherein the final sorting mark is used for defining the determining sort of the output signal. The invention further discloses an audio signal sorting method in the broadband audio codec.

Description

technical field [0001] The invention relates to a digital sound signal classification technology, in particular to an audio signal classification device and a classification method in a wideband audio codec. Background technique [0002] In the field of speech signal processing, existing sound signal classification detection (SAD, Sound Activity Detection) is only developed for speech signals, and only divides input audio signals into two types: noise and non-noise. [0003] Although AMR-WB+ includes music signal detection, it is only a correction and supplement other than SAD judgment. The ACELP and TCX mode selection algorithms of the AMR-WB+ coding algorithm have two types according to the complexity: open-loop selection algorithm and closed-loop selection algorithm. Closed-loop selection corresponds to high complexity and is the default option. It is a selection method based on perceptually weighted signal-to-noise ratio traversal search. It has very high computational ...

Claims

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Application Information

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IPC IPC(8): G10L19/00G10L19/12G10L19/14G10L19/16
Inventor 钟毅睿
Owner ZTE CORP
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