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Title:
NOISE REDUCTION METHOD AND SYSTEM FOR MONOPHONIC SPEECH, AND DEVICE AND READABLE STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2022/134351
Kind Code:
A1
Abstract:
A noise reduction method and system for monophonic speech, and a device and a readable storage medium. The method comprises: acquiring monophonic speech to be subjected to noise reduction (S1); building an initial noise reduction model based on an LSTM neural network (S2); acquiring a preset number of enhanced training samples, and using the preset number of enhanced training samples to train the initial noise reduction model, so as to obtain a noise reduction model (S3); and reducing noise of said monophonic speech by means of the noise reduction model to obtain human voice audio (S4). By means of training a model on the basis of an LSTM neural network, learning a noise rule of a whole time sequence is facilitated, thus achieving a better noise reduction effect. Moreover, on the basis of the complexity of a noise influence factor, an initial noise reduction model is trained again by means of enhanced training samples, such that the noise reduction effect of the noise reduction model is further improved.

Inventors:
WANG JIANZONG (CN)
CHENG NING (CN)
ZHANG ZHIYONG (CN)
Application Number:
PCT/CN2021/083652
Publication Date:
June 30, 2022
Filing Date:
March 29, 2021
Export Citation:
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Assignee:
PING AN TECH SHENZHEN CO LTD (CN)
International Classes:
G10L25/30; G10L21/0216
Foreign References:
CN109841226A2019-06-04
CN107452389A2017-12-08
US10614827B12020-04-07
US20200349965A12020-11-05
US20170061978A12017-03-02
Attorney, Agent or Firm:
SHENZHEN ZHONGYI UNION INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
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