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Method for distinguishing speak person based on feeling shifting rule and voice correction

A speaker recognition and speech technology, applied in speech recognition, speech analysis, instruments, etc., can solve problems such as difficulty in obtaining user approval and destroying speaker friendliness, and achieve the effect of improving performance

Inactive Publication Date: 2006-06-14
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This kind of deliberate emotional expression is often difficult to obtain the recognition of users, which destroys the original friendliness of speaker recognition.

Method used

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  • Method for distinguishing speak person based on feeling shifting rule and voice correction
  • Method for distinguishing speak person based on feeling shifting rule and voice correction
  • Method for distinguishing speak person based on feeling shifting rule and voice correction

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Embodiment Construction

[0012] The present invention will be further introduced below in conjunction with accompanying drawing and embodiment: the method of the present invention is divided into five steps altogether.

[0013] Step 1: Audio Preprocessing

[0014] Audio preprocessing is divided into three parts: sampling quantization, zero drift removal, pre-emphasis and windowing.

[0015] 1. Sampling and quantization

[0016] A), filter the audio signal with a sharp cut-off filter to make its Nyquist frequency F N 4KHZ;

[0017] B), set the audio sampling rate F=2F N ;

[0018] C), for audio signal S a (t) Sampling by period to obtain the amplitude sequence of the digital audio signal s ( n ) = s a ( n F ) ;

[0019] D), s(n) is quantized and coded by pulse code modulation (PCM), and the quantized...

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Abstract

The invention relates to a speaker identifying method based on feeling migration rule, firstly extracting voice characteristics able to reflect feeling information from the neutral and feeling voices with the same text, and analyzing and comparing these characteristics, then correcting the collected characteristic parameters in the neutral voice according the change law of these characteristics. As the compared feeling state of the voice is not neutral, a voice model with corresponding feeling information can be select to make comparison. The invention has the beneficial effect: integrated with voice characteristic correcting and voice synthesizing methods, making the collected voice consistent with the compared voice feeling state to improve the performance of the speaker identifying system.

Description

technical field [0001] The invention relates to the fields of signal processing and pattern recognition, and mainly relates to a speaker recognition method based on emotion transfer rules and voice correction. Background technique [0002] With the advent of the 21st century when biology and information technology are highly developed, biological witness technology, as a more convenient and advanced information security technology, has begun to emerge in the global e-commerce era. Voiceprint recognition is one of them. It is a technology that automatically identifies the speaker's identity based on the voice parameters in the voice waveform that reflect the speaker's physiological and behavioral characteristics. [0003] Compared with other biometric authentication technologies, voiceprint recognition, that is, speaker recognition, has the advantages of no contact, easy to accept, easy to use, economical, accurate, and suitable for remote applications. However, in practical...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L15/08G10L17/16
Inventor 吴朝晖杨莹春李东东
Owner ZHEJIANG UNIV
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