Voice noise filtering method and device, electronic equipment and medium

A noise filtering and speech technology, applied in speech analysis, speech recognition, instruments, etc., can solve problems such as poor noise filtering effect, achieve the effect of improving recognition performance and user experience
CN113593597APending Publication Date: 2021-11-02CHINA TELECOM CORP LTD

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
CHINA TELECOM CORP LTD
Publication Date
2021-11-02

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Abstract

The invention provides a voice noise filtering method and device, electronic equipment and a medium, and relates to the technical field of voice recognition. The voice noise filtering method comprises the following steps: carrying out segmentation operation on input voice information to obtain segmented voice; performing hierarchical clustering operation based on the human voice features in the segmented voice to obtain an initial cluster; correcting the initial clustering cluster based on K-means clustering, and determining a corrected clustering center; according to the distance between the segmented voice and the clustering center and the distance distribution, identifying noise in the segmented voice; and performing a noise filtering operation on the recognized noise to obtain the filtered voice information. Through the technical scheme disclosed by the invention, the filtering effect on invalid audios such as polyphonic ringtones, laughter, cough sound, background human voice and channel noise can be improved, so that the recognition performance of a voice recognition system provided with the noise filtering module disclosed by the invention is improved, and the use experience of a user is improved.
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Description

technical field

[0001] The present disclosure relates to the technical field of speech recognition, and in particular to a speech noise filtering method, device, electronic equipment and storage medium. Background technique

[0002] With the development of speech recognition technology, the application of speech recognition is becoming more and more extensive. However, due to the complexity of the real network environment, the speech to be recognized includes various complex environmental noises, such as ring tones, laughter, coughing, background people, etc. sound, channel noise, etc.

[0003] In related technologies, Voice Activity Detection (VAD) technology is used to separate effective voice signals from useless voice signals or noise signals, but the noise removal effect of this solution is not good enough, which will still affect the performance of the voice recognition system , and thus the noise user experience is poor.

[0004] It should be noted that the informat...

Claims

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