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Human voice recognition system

A recognition system and voiceprint recognition technology, which is applied in the field of human voice recognition system, can solve problems such as inaccurate recognition of voiceprint recognition methods and not widely used

Inactive Publication Date: 2021-07-06
南京新知艺测科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, the voiceprint recognition method has the defect of inaccurate recognition. Compared with face recognition, fingerprint recognition and other identification methods, due to the existence of its defects, it has not been widely used so far.

Method used

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  • Human voice recognition system
  • Human voice recognition system
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Embodiment 1

[0033] refer to figure 1 As shown, this embodiment discloses a human voice recognition system,

[0034] Human voice collection module, preprocessing module, voiceprint feature extraction module, function switching module, voiceprint recognition module and model training module;

[0035] The human voice collection module is connected with the input terminal of the preprocessing module, and is used to obtain the voiceprint information after collecting the human voice;

[0036] The preprocessing module is connected with the input end of the voiceprint feature extraction module, and is used for performing noise reduction processing on the voiceprint information;

[0037] The voiceprint feature extraction module is connected with the input end of the function switching module for extracting voiceprint features;

[0038] Function switching module, used for selection of voiceprint recognition and model training functions;

[0039] The model training module is connected with the fi...

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Abstract

The invention discloses a human voice recognition system. The human voice recognition system is applied to the technical field of voice recognition and comprises a human voice acquisition module, a preprocessing module, a voiceprint feature extraction module, a function switching module, a model training module and a voice recognition module. According to the invention, input characteristics are more perfect, noise is lower, and algorithm precision is higher; and a deep neural convolutional network algorithm is adopted to extract and classify the high-dimensional features of the sound, and the sound features of a speaker are directly identified by extracting the sound features of the speaker, so the defect of recognition through the speaking contents of the speaker is avoided, and recognition accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of voice recognition, in particular to a human voice recognition system. Background technique [0002] Speech recognition technology is an information technology that converts human voices, bytes or phrases into corresponding words or symbols, or gives responses through the process of machine recognition and understanding. Voiceprint is the sound wave spectrum that carries speech information displayed by electroacoustic instruments. The production of human language is a complex physiological and physical process between the language center of the human body and the vocal organs. The vocal organs used by people when speaking, such as tongue and teeth , larynx, lungs, and nasal cavities vary greatly among individuals in size and shape, so any two people's voiceprints will be different. There are differences in the corresponding sound wave spectrum when different users speak, so the unique user can be identifi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L17/00G10L17/02G10L17/04G10L17/18
CPCG10L17/02G10L17/04G10L17/18
Inventor 程杰
Owner 南京新知艺测科技有限公司
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