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A Discriminative Feature Extraction Method for Language Recognition

A technology of feature extraction and language recognition, applied in speech recognition, speech analysis, instruments, etc., can solve the problem of not considering different phonemes with different language discrimination, achieve excellent recognition performance, and improve the effect of language discrimination

Active Publication Date: 2019-07-09
NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT +1
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AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to solve the deficiency that different phonemes have different language discriminations in existing features based on phoneme posterior probability

Method used

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  • A Discriminative Feature Extraction Method for Language Recognition
  • A Discriminative Feature Extraction Method for Language Recognition
  • A Discriminative Feature Extraction Method for Language Recognition

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Embodiment Construction

[0056] The present invention will be further described now in conjunction with accompanying drawing.

[0057] The discriminative feature extraction method of the present invention includes two stages, one is a training stage and the other is a testing stage. The work to be done in the training phase is to use the speech data in the training set to calculate the F-ratio index (F-Ratio) and use the speech data in the training set to train the PCA (Principal Component Analysis) matrix. The work to be done in the test phase is: use the F-Ratio index and PCA matrix obtained in the training phase to extract the features of the speech to be tested, and the extracted features are language discriminative.

[0058] The work to be completed in the training phase and the testing phase will be described respectively below.

[0059] 1. Training stage

[0060] Assuming that there are data of M languages ​​in a training set, and each language has N sentences (the number of sentences in each...

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Abstract

The invention relates to a discriminative feature extraction method applied to language identification, which comprises the steps of calculating an F-ratio index for training a frame-level phoneme posterior probability feature vector of centralized voice data in a training stage, wherein the F-ratio index reflects the contribution of each dimension in the phoneme posterior probability feature vector for language discrimination; and extracting a phoneme posterior probability feature vector for voice to be tested in a testing stage, and performing feature weighting on the extracted phoneme posterior probability feature vector according to the F-ratio index.

Description

technical field [0001] The invention relates to the field of computer language recognition, in particular to a discriminative feature extraction method applied to language recognition. Background technique [0002] Language recognition refers to the technology that a computer automatically determines or confirms the language type of a speech. This is a technology that enables large-scale cross-lingual speech recognition applications, such as spoken language translation, spoken document retrieval, and more. It is also a research hotspot in information extraction in the field of intelligence and security. The key to language recognition technology is to use scientific methods to measure the individuality of different languages. Cognitive experiments have shown that differences between languages ​​can be reflected by features at different levels, including acoustic, phoneme, prosodic, morphological, and syntactic features. [0003] Acoustic layer features are usually extract...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G10L15/02
Inventor 袁庆升周若华云晓春张健陈训逊颜永红徐杰李锐光
Owner NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT
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