Voice noise reduction method and system based on pipeline architecture, and storage medium
A voice noise reduction and assembly line technology, applied in voice analysis, instruments, etc., can solve the problems of high resource occupation, long time consumption, complex design, etc., and achieve the effect of meeting real-time requirements, reducing resource occupation rate, and simplifying design complexity
Pending Publication Date: 2022-02-01
INFORMATION SCI RES INST OF CETC
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Problems solved by technology
The battlefield environment is extremely complex, and noise interference in high-noise and harsh environments will seriously affect the accuracy of voice recognition and bring challenges to voice control
[0003] Moreover, the implementation process of voice noise reduction has high requirements for fidelity, real-time, and continuity. At present, the CPU alone cannot meet the above requirements, but the voice noise reduction cyclic neural network algorithm in the prior art is based on FPGA (Field-Programmable Gate Array, Field Programmable Gate Array (FPGA), the design is complex, resource occupation is too much, power consumption is large, and time-consuming is long
Serious impact on speech recognition efficiency
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[0044] The following description and drawings illustrate specific embodiments of the invention sufficiently to enable those skilled in the art to practice them.
[0045] It should be clear that the described embodiments are only some of the embodiments of the present invention, not all of them. 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.
[0046] When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of systems and methods consistent with aspects of the invention as recited in the appended claims.
[0047] At present, the imple...
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The invention discloses a voice noise reduction method and system based on a pipeline architecture and a storage medium, and the method comprises the steps: an upper computer transmits to-be-processed voice data to a lower computer, the lower computer receives the to-be-processed voice data transmitted by the upper computer, and carries out the noise reduction of the to-be-processed voice data according to a preset data processing accelerator, and voice data subjected to noise reduction is obtained. The data processing accelerator inputs the to-be-processed voice data into a preset neural network model; according to the characteristics of each layer of the neural network model, the number of calculation units and calculation tasks of each layer are dynamically allocated; each calculation unit is controlled to carry out parallel calculation on the data of each layer; and if the data calculation of the current layer is completed, the calculation of the next neural network layer is controlled to start, and the voice data subjected to noise reduction is obtained. According to the method, the neural network calculation is conducted on the lower computer in a pipeline architecture manner, so that the design complexity is simplified, the resource occupancy rate is reduced, the power consumption is reduced, and the total time consumption of information processing is shortened.
Description
technical field [0001] The invention relates to the technical field of voice data processing, in particular to a voice noise reduction method, system and storage medium based on a pipeline architecture. Background technique [0002] With the continuous improvement of the level of military modernization, the demand for intelligent control of weapons and equipment is getting higher and higher. Among them, voice control technology can effectively improve the control efficiency of weapons and equipment. The battlefield environment is extremely complex, and noise interference in high-noise and harsh environments will seriously affect the accuracy of voice recognition and bring challenges to voice control. [0003] Moreover, the implementation process of voice noise reduction has high requirements for fidelity, real-time, and continuity. At present, the CPU alone cannot meet the above requirements, but the voice noise reduction cyclic neural network algorithm in the prior art is b...
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IPC IPC(8): G10L21/0208G10L21/0264G10L25/30
CPCG10L21/0208G10L21/0264G10L25/30
Inventor 马宇飞
Owner INFORMATION SCI RES INST OF CETC