Method of Training Voice Recognition Model and Voice Recognition Device Trained by Using Same Method

A speech recognition apparatus for converting speech data into text data by executing a speech recognition model, comprising:

• an input/output device for receiving speech data input;
• a memory for storing information on the speech recognition model;
• and
• a processor that executes the speech recognition model to convert the speech data into the text data,
• wherein the speech recognition model:
• converts the speech data into one or more phonetic symbol data using the speech recognition model;
• generates one or more word candidates corresponding to the one or more phonetic symbol data using the speech recognition model;
• determines any one among the word candidates as the text data corresponding to the speech data, on the basis of a context, using the speech recognition model;
• assigns weighted values to one or more rules related to the generation of the word candidate determined as the text data using a back-propagation value generated based on the text data;
• converts general text data distinguishable from the speech data into one or more grapheme sequence data;
• maps one or more phonetic sequence segments, which are selected in the order of the largest number among the phonetic sequence segments generated from the phonetic symbol data, along with one or more grapheme sequence segments, which are selected in the order of the largest number among the grapheme sequence segments generated from the grapheme sequence data;
• and then, generates the one or more word candidates using the above mapping of the one or more phonetic symbol sequence segments and the one or more grapheme sequence segments.