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Method for updating classifier parameters for identifying audio content

A content recognition and parameter update technology, applied in speech recognition, speech analysis, instrumentation, etc., can solve problems such as limited and insufficient training samples, and inability to update classifier parameters

Active Publication Date: 2011-03-23
SPREADTRUM COMM (SHANGHAI) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In fact, in many classifier applications, the training samples are very limited or insufficient, and the classifier parameters cannot be updated according to the actual test samples, so that the purpose of optimal classification cannot be achieved.

Method used

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  • Method for updating classifier parameters for identifying audio content
  • Method for updating classifier parameters for identifying audio content
  • Method for updating classifier parameters for identifying audio content

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Embodiment Construction

[0029] Audio is an important medium in multimedia, and audio information retrieval technology is an important part of multimedia information retrieval technology. In audio retrieval applications, it is necessary to classify audio data. Its purpose is to distinguish which category the input audio signal belongs to. Common audio categories include voice, background noise, pop music, classical music, etc., and the application of audio content classification It is also very extensive, especially in the field of audio retrieval, audio content classification plays a decisive role, and in the extraction process of some multimedia abstracts, audio content classification as an auxiliary means of video content retrieval also plays an important role. In a broad sense, in many speech and audio standards, such as 3GPP's AMR-WB and AMR-WB+, they all use speech / noise classifiers and speech / music classifiers, which kind of audio is provided to the encoder input signal Signals, so different en...

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Abstract

The invention provides a method for updating classifier parameters for identifying audio content, which comprises the following steps: acquiring new training data; selecting data to obtain a data set one and a data set two; updating parameters of a Gaussian mixture model by utilizing the data set one; and judging whether data quantity of the data set two is greater than a threshold value or not, and updating the whole parameters of the Gaussian mixture model by utilizing the data set two if the data quantity of the data set two is greater than the threshold value. Aiming at the current Gaussian mixture model, the method can update the classifier parameters according to actually tested samples so as to achieve the aim of optimized classification.

Description

【Technical field】 [0001] The invention relates to a classifier parameter update method for audio content recognition, in particular to a parameter update method suitable for a classifier based on a Gaussian mixture model. 【Background technique】 [0002] Audio is an important medium in multimedia, and audio information retrieval technology is an important part of multimedia information retrieval technology. The corresponding existing technologies can refer to Chinese patents 1391211, 1223739 and 1270361 and US patents 5,613,037, 6,292,776 and 5,440,662, etc. . In audio retrieval applications, it is necessary to classify audio data. Its purpose is to distinguish which category the input audio signal belongs to. Common audio categories include voice, background noise, pop music, classical music, etc., and the application of audio content classification It is also very extensive, especially in the field of audio retrieval, audio content classification plays a decisive role, and...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G10L15/14
Inventor 黄鹤云林福辉
Owner SPREADTRUM COMM (SHANGHAI) CO LTD