Saturated diving helium voice interpretation method and system based on multi-objective optimization

Abstract

According to the saturated diving helium speech interpretation method and system based on multi-objective optimization, in at least one system comprising a diver and a filter, a diver working language phonetic symbol library and a common working language word library are established, and the diver reads to generate a phonetic symbol standard speech library, a phonetic symbol helium speech library and a common working word speech library; and designing an impulse response coefficient of the filter by using a multi-objective optimization algorithm, correcting and interpreting the helium voice signal after tag sampling word by word, and continuously updating the impulse response coefficient to complete the complete interpretation of the helium voice. According to the method, individual phonetic symbol voice library characteristics of a diver in different environments are set, and system parameters of a filter are designed by adopting a multi-objective optimization algorithm and are continuously updated and corrected, so that the dependence on the number of machine learning samples is eliminated, saturated diving helium voice interpretation is stabilized, the performance of a helium voice interpreter is always in an optimal state, and the reliability of the system is improved. The self-adaptability of the helium voice interpreter at different diving depths is improved, and complete interpretation of helium voice is realized.

Description

technical field [0001] The invention relates to helium speech interpretation technology, and more specifically relates to a multi-objective optimization-based saturation diving helium speech interpretation method and system. Background technique [0002] The 21st century is the era of marine economy, we will obtain more than 50% of the clean energy and production materials needed by human beings from the ocean. Saturation diving has extremely important application value in the fields of nautical operations, ocean development, military ocean, sea rescue, etc., and is an indispensable part of the development of marine economy. [0003] Due to the particularity of the deep-sea operating environment and work content, many tasks in the ocean cannot be completed by manned deep-sea submersibles or underwater robots. Divers need to go directly into the water and be exposed to deep-sea high-pressure environments using saturation diving techniques. In order to meet the physiological ...

AI Technical Summary

Problems solved by technology

[0004] At present, the existing helium speech interpreters for saturation diving at home and abroad are interpreting the helium speech through the helium speech interpreter in the diving chamber and manually adjusting the frequency domain or time domain characteristics of the interpreter, which cannot adapt to the depth of saturation diving operations. changes, and the helium speech interpretation is not satisfactory

When the diving depth is greater than 200 meters, the interpretation quality of the helium voice interpreter declines rapidly, especially when the diver’s diving depth changes, the helium voice cannot be effectively interpreted

Artificial intelligence-based speech interpretation technology for saturation diving helium is currently in its infancy at home and abroad, and the machine learning interpretation effect for small samples is not good

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