Voice signal processing method and device, electronic equipment and storage medium
A voice signal processing and voice signal technology, which is applied in the field of electronic equipment, storage media, devices, and voice signal processing methods, can solve problems such as inability to meet real-time communication, affect training results, and disappearance of one-way LSTM network structure gradients.
Pending Publication Date: 2021-01-22
TENCENT TECH (SHENZHEN) CO LTD
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However, the unidirectional LSTM network structure is prone to the phenomenon of gradient disappearance, which affects the training results; the bidirectional LSTM network structure has the problem of calculation delay, which cannot meet the requirements of real-time communication
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[0061]Example embodiments will now be described more fully with reference to the accompanying drawings. However, the example embodiments can be implemented in various forms, and should not be construed as being limited to the examples set forth herein; on the contrary, these example embodiments are provided so that the description of the application will be more comprehensive and complete, and the concept of the example embodiments Comprehensively communicate to those skilled in the art. The drawings are schematic illustrations of the application and are not necessarily drawn to scale. The same reference numerals in the figures denote the same or similar parts, and thus their repeated description will be omitted.
[0062]In addition, the described features, structures, or characteristics may be combined in one or more example embodiments in any suitable manner. In the following description, many specific details are provided to give a sufficient understanding of the exemplary embodimen...
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The invention provides a voice signal processing method and device, electronic equipment and a storage medium, which can improve the accuracy of network training and can meet the requirement of real-time communication. The voice signal processing method comprises the following steps: acquiring original feature information of a voice signal; inputting the original feature information into a first layer LSTM in a three-layer LSTM network; inputting the original feature information and the output information of the first-layer LSTM into a second-layer LSTM in a three-layer LSTM network; and inputting the original feature information, the output information of the first-layer LSTM and the output information of the second-layer LSTM into a third-layer LSTM in the three-layer LSTM network to obtain target information.
Description
Technical field[0001]The embodiments of the present application relate to the field of artificial intelligence technology, and more specifically, to a voice signal processing method, device, electronic device, and storage medium.Background technique[0002]In the machine learning method, the Long Short Term Memory (LSTM) network is a relatively general network training model. The current LSTM network structure can be a one-way LSTM network structure and a two-way LSTM network structure. However, the unidirectional LSTM network structure is prone to the phenomenon of gradient disappearance, which affects the training results; the two-way LSTM network structure has the problem of calculation delay, which cannot meet the requirements of real-time communication.Summary of the invention[0003]This application provides a voice signal processing method, device, electronic equipment, and storage medium, which can improve the accuracy of network training while meeting the requirements of real-t...
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IPC IPC(8): G10L15/02G10L15/06G10L15/16G06N3/04G06N3/08
CPCG10L15/02G10L15/063G10L15/16G06N3/084G06N3/044G06N3/045
Inventor 鲍枫
Owner TENCENT TECH (SHENZHEN) CO LTD