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Method and system for recognizing speaking people

A technology for speaker recognition and speaker recognition, applied in the field of speaker recognition methods and systems, can solve the problems of recognition system judgment errors, false people mistakenly believe, etc., to achieve the effect of system stability and reliability, not easy to imitate, and improve recognition rate

Inactive Publication Date: 2009-05-20
VIMICRO CORP
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Problems solved by technology

However, when a counterfeiter deliberately imitates the pronunciation characteristics of a real user, the recognition system will produce certain judgment errors and mistake the counterfeiter for a real user

Method used

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  • Method and system for recognizing speaking people
  • Method and system for recognizing speaking people
  • Method and system for recognizing speaking people

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Embodiment Construction

[0047] In order to make the above objects, features and advantages of the present invention more obvious and understandable, the related technologies involved in the present invention will be introduced in detail below.

[0048] Using template matching to identify speakers, firstly, the voice should be trained and a feature template library should be established. The establishment of a feature template library includes the establishment of an acoustic model for identifying basic units and a language model for grammatical analysis; Feature extraction, compared with the features of the template library, for speaker recognition.

[0049] The fundamental frequency of voiced vocal cord vibration becomes the fundamental frequency, which is one of the important parameters of the speech signal. The pitch period can be estimated by the short-term autocorrelation function of the speech signal. The autocorrelation function is calculated as follows:

[0050] R ...

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Abstract

The invention provides a method and a system for recognizing a speaker. The method comprises: acquiring a voice signal of the speaker to be recognized; extracting fundamental tone characteristic parameters, cepstrum characteristic parameters and power spectrum characteristic parameters in the voice signal; matching the fundamental tone characteristic parameters, the cepstrum characteristic parameters and the power spectrum characteristic parameters with the characteristic parameters of corresponding voice signals preset in a characteristic template so as to acquire the comprehensive matching distortion value and the comprehensive matching path deviation of the voice signal to be recognized; acquiring the final comparison error of the voice signal to be recognized according to the comprehensive matching distortion value and the comprehensive matching path deviation; and confirming the speaker if the final comparison error is lower than a preset comprehensive matching comparison threshold value. The method and the system combine three characteristics to be recognized organically and perform the comparison between an object to be recognized and the characteristic template according to matching paths of the three characteristics to determine the recognition result of the system, thus the speaker can be recognized stably and reliably, and the recognition rate is improved.

Description

technical field [0001] The present invention relates to the field of biological feature identification, in particular, to a speaker identification method and system. Background technique [0002] Speaker Recognition (Speaker Recognition) is a technology that automatically identifies the identity of the speaker based on the speech parameters that reflect the speaker's physiological and behavioral characteristics in the speech waveform. Speaker recognition can be seen as a type of speech recognition. Like speech recognition, it processes the received speech signal, extracts corresponding features or establishes corresponding models, and then makes judgments accordingly. The difference between speaker recognition and speech recognition is that it does not pay attention to the semantic content in the speech signal, but hopes to extract human characteristics from the speech signal; while speech recognition seeks to find common factors from the word signals of different people, ...

Claims

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Application Information

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IPC IPC(8): G10L17/00G10L17/02G10L17/06
Inventor 张晨冯宇红邓昊
Owner VIMICRO CORP
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