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Self-adaption method of speech recognition system

A speech recognition and adaptive technology, applied in speech recognition, speech analysis, instruments, etc., to achieve the effect of unsupervised

Inactive Publication Date: 2011-11-09
SAMSUNG ELECTRONICS CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, none of the existing self-adapting technologies can achieve efficient self-adaptation with a small amount of test voice data without the problem of saturation

Method used

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  • Self-adaption method of speech recognition system

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Embodiment Construction

[0051] Various example embodiments will now be described more fully with reference to the accompanying drawings.

[0052] In the acoustic model (AM), the feature distribution of the acoustic unit (acoustic unit) in the feature space is generally modeled using a Gaussian mixture distribution, that is, a linear weighted combination of multiple Gaussians. In the present invention, the parameters of AM are updated by updating the parameters of Gaussian distribution, so as to realize the self-adaptation of the speech recognition system. That is, the parameters of the Gaussian distribution are updated as the parameters of AM, thereby performing self-adaptation.

[0053] Typically, sound units are defined at different levels. In small speech recognition systems, sound units are defined in terms of syllables. In large speech systems, sound units are defined in terms of phonemes. Depending on the complexity and task requirements of the sound recognition system, there are different n...

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Abstract

The invention relates to a self-adaption method of a speech recognition system. The method comprises the following steps of: determining content difference parameters of an input speech signal so as to determine the data accumulation degree of the input speech signal on the high layer, the intermediate layer and the lower layer of a tree structure; and selecting the self-adaption method which accords with quantity accumulation conditions from a first self-adaption method suitable for a high layer class in the tree structure, a second self-adaption method suitable for an intermediate layer class in the tree structure and a third self-adaption method suitable for a lower layer class in the tree structure so as to execute self-adaption, wherein the tree structure is built in acoustic units in a feature space of the speech recognition system, so that the acoustic units are clustered in the tree structure form.

Description

technical field [0001] The present invention relates to speech recognition technology, more specifically, to an adaptive method for speech recognition. Background technique [0002] In recent years, speech recognition technology has made remarkable progress, and in the laboratory environment, the recognition accuracy has reached as high as 95%. Recently, speech recognition technology has begun to move from the laboratory to the market, and has gradually entered various fields such as industry, home appliances, communications, automotive electronics, medical care, home services, and consumer electronics. [0003] However, the performance of a speech recognition system is affected by many factors, including different speakers, speaking styles, environmental noise, transmission channels, etc. When the speech to be recognized is different from the conditions under which the speech recognition system was trained, the speech cannot be recognized well. [0004] One solution to th...

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Application Information

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IPC IPC(8): G10L15/00G10L15/02G10L15/06G10L15/065
Inventor 史媛媛
Owner SAMSUNG ELECTRONICS CO LTD