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Specific continuous voice filtering method and device of mobile phone

A technology of mobile phone and filtering method, which is applied in the field of voice communication, can solve the problems of restricting voice recognition, the complexity of the voice system, and the difficulty in realizing the voice recognition system, etc., and achieve the effect of convenient voice communication, solving inconvenience, and protecting privacy

Inactive Publication Date: 2014-06-18
BEIJING UNIV OF TECH
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0006] (2) The complexity and variability of the speech signal itself
[0007] Because people around the world use different voices, and there are many dialects in the same country, this poses a huge challenge to the study of voice feature parameters. speech recognition system
Even the same voice spoken by the same person at different times is not completely consistent, so the complexity and variability of the voice signal itself restricts the further development of voice recognition
[0008] (3) The complexity of the speech system
Therefore, if these subjects do not develop rapidly, so-called bottlenecks will appear, which will eventually restrict the development of speech recognition to a higher direction.

Method used

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  • Specific continuous voice filtering method and device of mobile phone
  • Specific continuous voice filtering method and device of mobile phone
  • Specific continuous voice filtering method and device of mobile phone

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Embodiment Construction

[0043] The present invention will be further described below in conjunction with accompanying drawing.

[0044] like figure 1 As shown, it is an overall block diagram of the filter system for specific continuous speech, which includes a total of six people in the speech environment, M1, M2, M3, M4, M5 and M6; A1, A2, A3, A4, A5 and A6 are M1, A5 and A6, respectively. Six different voice signals from M2, M3, M4, M5 and M6; P1 user's mobile phone; M6 target voice; C1 communication network;

[0045] like Figure 4 as shown, is figure 1 The module of the present invention possessed by P1 includes 6 units, namely a voice signal receiving unit, a voice signal preprocessing unit, a voice signal feature extraction unit, a feature parameter matching unit, a voice feature parameter library, and a voice signal output unit.

[0046] like figure 2 As shown in the speech-specific parameter matching process, the feature parameters extracted from the received speech signal are compared w...

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Abstract

The invention provides a specific continuous voice filtering method and device of a mobile phone, and belongs to the technical field of communication methods and equipment. When a user uses the function, user voice is recorded at first, identified specific voice is recorded in the mobile phone, and a voice library of the mobile phone is built; when the mobile phone is used for communication every time, the user can make the choice that the mobile phone only identifies the specific voice. By means of the specific continuous voice filtering method and device of the mobile phone, in a noisy communication environment, communication inconvenience occurring in the environment can be overcome effectively, and it can be guaranteed that the other party of the communication can obtain high-quality voice communication; certainly, when the function is used, only the voice of the user can pass through the mobile phone, voice of other people around the user cannot be transmitted to the other party, and high applicability is obtained in the aspect of user privacy protection.

Description

technical field [0001] The invention relates to a filtering method and filtering device for identifying the continuous voice of a specific person in a mobile phone call, which is suitable for voice noise reduction and filtering of non-target voice, and belongs to the technical field of voice communication. Background technique [0002] Speech recognition technology has had a profound impact on the way of life of human beings since its birth, so speech recognition technology has always been a hotspot of in-depth research by scholars all over the world. Currently, dynamic time warping (DTW) technology and hidden Markov model (HMM) technology based on the principle of probability and statistics are widely used in speech recognition. Speech is a complex nonlinear process. Therefore, based on nonlinear theory, artificial neural network technology with the characteristics of adaptability, parallelism, robustness, fault tolerance and learning has gradually become a new research dir...

Claims

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Application Information

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IPC IPC(8): G10L21/007G10L21/0232H04M1/725
Inventor 汪金辉龙哲华侯立刚耿淑琴彭晓宏宫娜
Owner BEIJING UNIV OF TECH
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