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Speech signal enhancement technology method based on indoor multi-mobile source real-time processing

A real-time processing, speech signal technology, applied in speech analysis, speech recognition, instruments, etc., can solve the problems of nonlinear speech BSS randomness, inability to determine the amplitude of independent components, inability to determine the order of independent components, etc., to broaden the scene and possibility, maintain social order and stability, and improve the effect of processing time

Inactive Publication Date: 2017-03-22
LANZHOU JIAOTONG UNIV
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Problems solved by technology

Among them, the linear blind source separation technology represented by the independent component analysis (ICA) algorithm is relatively mature, but the speech waveform estimated by separation has the following problems: (1) the amplitude of the independent components cannot be determined; (2) the order of the independent components cannot be determined
However, due to the randomness and complexity of nonlinear speech BSS, the current research bottlenecks are:

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  • Speech signal enhancement technology method based on indoor multi-mobile source real-time processing
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  • Speech signal enhancement technology method based on indoor multi-mobile source real-time processing

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[0032] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0033] A speech signal enhancement technology method based on indoor real-time processing of multiple mobile sources, the steps include mathematical modeling, system simulation, blind source separation, post-speech processing, algorithm optimization, on-site detection of algorithm transplantation and application submission.

[0034] The present invention aims at the blind source separation of indoor mobile source voice, takes the bl...

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Abstract

The invention relates to the field of speech signal processing, and particularly relates to a speech signal enhancement technology method based on indoor multi-mobile source real-time processing. When no source signal is in a room and any prior knowledge can be exploited, blind source separation is combined with a speech post-processing algorithm to realize speech enhancement under multi-reflection reverberation conditions. The main research contents comprise (1) a blind source separation algorithm is used to realize multi-channel speech separation; (2) the speech post-processing algorithm is used to realize self-adaptive noise filtering in a sound source mobile environment; and (3) indoor reverberation residual crosstalk modeling and elimination are realized. The study result provides a new theoretical support and technical method for robust real-time separation of multi-mobile source signals in an indoor environment. The method can be applied to multi-voice identification in security systems such as inside building monitoring, and is of great significance for preventing and attacking terrorists in advance and maintaining social stability.

Description

technical field [0001] The invention relates to the field of speech signal processing, in particular to a speech signal enhancement technology method based on real-time processing of indoor multiple mobile sources. Background technique [0002] Speech signal is an important medium for human beings to spread information and exchange emotions, and it is the auditory organ's perception of the mechanical vibration of the sound medium. In real life, indoor speech signals are often interfered by noise and room reverberation, which not only affects people's hearing quality, but also affects other aspects of speech processing. Therefore, signal processing technology must be used to analyze noisy speech signals. Do enhancements. Speech separation is to separate all signal components from the obtained mixed signal. Speech enhancement is to obtain one of the voice signals from the mixed signal, and treat other components as background noise. Speech enhancement can be regarded as a spe...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L15/06G10L21/0216G10L21/0272
CPCG10L21/0272G10L15/06G10L21/0216G10L2021/02087
Inventor 徐岩杨桂芹王春丽李新颖
Owner LANZHOU JIAOTONG UNIV
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