Voice processing method, apparatus, device and storage medium
AssigneeBaidu Online Network Technology (Beijing) Co., Ltd.
InventorsCHAO LI, WEIXIN ZHU
Life of this patent
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Abstract
The present application provides a voice processing method, an apparatus, a device, and a storage medium, including: acquiring a first acoustic feature of each of N voice frames, where N is a positive integer greater than 1; applying a neural network algorithm to N first acoustic features to obtain a first mask; modifying the first mask according to VAD information of the N voice frames to obtain a second mask; and processing the N first acoustic features according to the second mask to obtain a second acoustic feature, resulting in more effective noise suppression and a lower damage to the voice.
Claims18
A voice processing method, comprising:
- acquiring a first acoustic feature of each of N voice frames, wherein N is a positive integer greater than 1;
- applying a neural network algorithm to N first acoustic features to obtain a first mask;
- modifying the first mask according to voice activity detection (VAD) information of the N voice frames to obtain a second mask;
- and
- processing the N first acoustic features according to the second mask to obtain a second acoustic feature.
A voice processing device, comprising:
- a memory and a processor;
- wherein the memory is configured to store instructions executed by the processor, such that the processor performs:
- acquiring a first acoustic feature of each of N voice frames, wherein N is a positive integer greater than 1;
- applying a neural network algorithm to N first acoustic features to obtain a first mask;
- modifying the first mask according to voice activity detection (VAD) information of the N voice frames to obtain a second mask;
- and
- processing the N first acoustic features according to the second mask to obtain a second acoustic feature.
A non-volatile storage medium, comprising:
- computer executable instructions for implementing following steps:
- acquiring a first acoustic feature of each of N voice frames, wherein N is a positive integer greater than 1;
- applying a neural network algorithm to N first acoustic features to obtain a first mask;
- modifying the first mask according to voice activity detection (VAD) information of the N voice frames to obtain a second mask;
- and
- processing the N first acoustic features according to the second mask to obtain a second acoustic feature.
Dependencies are inferred from the claim text.