Voice noise lowering method based on RNN and voice recognizing method

A voice noise reduction and noise reduction technology, applied in voice analysis, instruments, etc., to achieve the effects of good convergence, improved voice recognition rate, and fast calculation speed

Inactive Publication Date: 2019-05-03
HARBIN UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Although the development momentum of speaker recognition technology is good, there are still some bottlenecks to be overcome

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  • Voice noise lowering method based on RNN and voice recognizing method
  • Voice noise lowering method based on RNN and voice recognizing method
  • Voice noise lowering method based on RNN and voice recognizing method

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Embodiment Construction

[0053] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0054] It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.

[0055] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but not as a limitation of the present invention. The voice noise reduction method of this embodiment is realized based on Recurrent Neural Networks (RNN); the outp...

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Abstract

The invention discloses a voice noise lowering method based on RNN and a voice recognizing method, and belongs to the field of voice recognizing. In a noise environment, voice signal feature parameters with better performance can be extracted. The voice noise lowering method includes the steps that a DRNN noise lowering model is established; based on RNN, two hidden layers are added, there are noconnecting layers on the two hidden layers, an original hidden layer of RNN is located between the two added hidden layers, and the three hidden layers are located between an input layer and an outputlayer; a voice training signal X with noise is subjected to zero fill so that dimensions are kept uniform, after zero fill, the signal is divided into N groups, each group includes three data, the grouped data is input into the DRNN noise lowering model to be trained, and parameters of the DRNN noise lowering model are determined; the DRNN noise lowering model with the determined parameters is used for conducting noise lowering on the voice signal or the feature parameters. The voice recognizing method adopts the DRNN noise lowering model for conducting noise lowering on the feature parameters before recognizing and training on the basis.

Description

technical field [0001] The invention relates to a speech noise reduction method and a speech recognition method, belonging to the field of speech recognition. Background technique [0002] Among the many biological characteristics of human beings, using the speaker's voice characteristics for identity authentication has many advantages: identity authentication by distinguishing the innate differences of the speaker's vocal organs does not involve personal privacy, and is easily accepted by the collectors. Compared with iris, Biometric features such as fingerprints and DNA, the cost of collecting voice features is relatively low, and the collection of voice features can be completed without complicated and expensive equipment; remote voice feature extraction can be performed using communication devices, and the collected data is not subject to geographical restrictions. The process of determining the speaker's identity through the extraction and analysis of speech features is...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L17/04G10L17/18G10L21/0208G10L21/0232G10L25/24G10L25/30
Inventor 兰朝凤韩旭兰袁硕刘岩赵宏运刘春东
Owner HARBIN UNIV OF SCI & TECH
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