Voice instruction recognition method and device, electronic equipment and storage medium
A voice instruction and recognition method technology, applied in the computer field, can solve the problems of occupying more computing resources, taking a lot of time, and slowing the sequence of representation vectors, and achieving the effect of reducing the occupation of computing resources, reducing time-consuming, and improving speed.
Inactive Publication Date: 2020-02-21
HANGZHOU YITU MEDIAL TECH CO LTD
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However, when RNN calculates a text sequence, the calculation of each element in the text sequence needs to rely on the calculation result of the previous element, that is, only after the calculation of the previous element in the text sequence is completed, can the next The calculation of an element requires that the calculation process must be sequential, and parallel calculation cannot be performed, so that the speed of calculating the representation vector sequence for the text sequence is slow, which leads to the existing voice command recognition process. In addition, when the neural network model is trained to recognize voice commands, the training process will also consume more time and occupy more computing resources
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[0049] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are only used to illustrate the present invention, but not to limit the scope of the present invention.
[0050] It will be appreciated that, as used herein, the term "module" may refer to or include an Application Specific Integrated Circuit (ASIC), an electronic circuit, a processor (shared, dedicated, or group group) and / or memory, combinational logic, and / or other suitable hardware components that provide the described functionality, or may be part of such hardware components.
[0051] It can be understood that, in various embodiments of the present invention, the processor may be a microprocessor, a digital signal processor, a microcontroller, etc., and / or any combination thereof. According to another aspect, the processor may be a single-core processor, a multi-core processor, ...
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The invention relates to a voice instruction recognition method and device, electronic equipment and a storage medium. The voice instruction recognition method comprises the following steps of acquiring voice data of a user; recognizing the voice data into a text sequence through voice recognition; extracting a characterization vector sequence containing semantic information of each word in the text sequence based on the text sequence and a multi-path self-attention mechanism; processing the characterization vector sequence to obtain intent information and a word slot; determining an instruction corresponding to the intent information; and judging whether the instruction is complete or not through the word slot, and if yes, decoding the instruction and outputting instruction contents. According to the voice instruction recognition method provided by the embodiment of the invention, the time consumption of voice instruction recognition in the training process and actual use process of outputting the instruction contents corresponding to the text sequence based on the text sequence is reduced, and the waste of computing resources is reduced.
Description
technical field [0001] The invention relates to the field of computer technology, in particular to a voice command recognition method and device, electronic equipment for voice command recognition, computer storage media and a voice interaction processing method. Background technique [0002] An intelligent service robot is a product based on artificial intelligence technology, which interacts with users in the form of dialogue, and the intelligent service machine can provide services to users during the interaction with users. [0003] The existing voice instruction recognition method for intelligent service robots uses multi-layer RNN (recurrent neural network) to extract the characterization vector sequence containing semantic information for each word in the voice text sequence, and then processes the characterization vector sequence to obtain the intention Information and word slots. However, when RNN calculates a text sequence, the calculation of each element in the t...
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IPC IPC(8): G10L15/22G10L15/26G10L15/16G10L15/34
CPCG10L15/22G10L15/16G10L15/34G10L2015/223G10L15/26
Inventor 郑永升石磊曹越
Owner HANGZHOU YITU MEDIAL TECH CO LTD