Industry-University Cooperation Foundation Hanyang University

Mun Hak Lee

Joon-Hyuk Chang

A speech recognition model generating device for generating an E2E speech recognition model using calibration correction comprising an acoustic model including a first artificial neural network module using a speech information as input information and using a first text information corresponding to the speech information as output information, a language model comprising a second artificial neural network module using the first text information as input information and outputting a second text information corresponding to the first text information as output information based on the characteristics of the language model, and a E2E speech model generating unit generating a coupling probability distribution based on a first probability distribution information of the acoustic model output by the acoustic model and a second probability distribution information of the language model output by the language model, and generating a E2E speech model based on the coupling probability distribution, wherein the E2E speech model generating unit is generating the E2E speech model based on the corrected acoustic model and the corrected language model after each calibration is performed on the acoustic model and the language model.

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Seoul, South Korea

Mun Hak Lee