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Voiceprint analysis of nonlinear dynamics method study
Author: ChenLe
Tutor: TongQinYe
School: Zhejiang University
Course: Biomedical Engineering and Instrumentation
Keywords: Nonlinear Dynamics Methods Voiceprint Biostatistics Computational complexity Two - dimensional embedding space Speech Feature Nonlinear methods Analysis and processing method Modern communications systems
CLC: R318.01
Type: Master's thesis
Year: 2001
Downloads: 101
Quote: 1
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Abstract
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In the information age , some part of our body , will be the evidence to prove his identity . This technology become Biostatistics recognition technology , according to the unique physiological characteristics of automatic identification technology of personal identity . In the all biostatistics system , the speech recognition is the most complex , but also the least accurate . Ago, people tend to use linear methods such as spectral analysis to analyze the speech signal , these linear methods only apply to a smooth , consistent , balanced linear time series , for the non-stationary , inconsistent , unbalanced non-linear the sexual speech time series , traditional linear method often lost many important information essential implication . This paper presents a computational complexity of the method to analyze the voice characteristics of each person 's speech , found that even if the same paragraph , the voice characteristics of different subjects has suddenly different . This feature can also be referred to as a voiceprint can be the same as the fingerprint , applied as a means of information security in modern communications systems . The complexity of the calculation is a new non-linear method , completely different from the existing analytical processing method . We found that the different subjects voice its calculation complexity exists a clear distinction in the specific two-dimensional embedding space . This nonlinear processing method further experiments proved effective. We believe that the complexity of the analysis method can be used voiceprint analysis , has a very broad application prospects , so this is a promising research topic .
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CLC: > Medicine, health > Basic Medical > Medical science in general > Biomedical Engineering > General issues > Biomechanics
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