9. A similar word discrimination method for discriminating words that may be misrecognized because of their similarity, comprising the steps of: receiving voice data of input words; creating a learning dynamic recurrent neural networks (DRNN) sub-voice model, that uses a DRNN voice model, to obtain a specified DRNN output for the characteristic components of respective similar words showing a level of correctness in response to the voice data of input words; processing the DRNN output to establish a specified period in which the characteristic components of the input words are included in the DRNN output, when the DRNN output shows a level of correctness of a predetermined amount or greater; examining the characteristics of the voice data of said input words during the specified period; and discriminating between the input words and words that are similar to the input words on the basis of the examination.
10. The similar word discrimination method of claim 9, wherein: the discrimination of the input words and the words that are similar to the input words is accomplished based on the value of the DRNN output which shows the level of correctness above a specified level in accordance with the DRNN sub-voice model.