App for translating Cantonese accent and German based on RBH (Radial Basis Function) neural network model
A neural network model and neural network technology, applied in the field of RBH neural network algorithm and mobile phone APP, can solve the problems of high labor intensity, decreased translation accuracy and loss of simultaneous interpreters
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[0013] Example 1: In a long international conference that took up to 5 hours, the speaker spoke fast, and the Chinese speaker had a Cantonese accent, and the Chinese simultaneous interpreters sent by the German side had limited understanding of Cantonese accent , and after a long period of simultaneous interpretation with a high concentration of attention, the accuracy of the translation gradually decreases with fatigue. Tired, always able to maintain a stable high level of translation accuracy, better than human translators.
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