Abstract:
Provided is a method for interpretation and translation accomplished by an interpretation and translation apparatus of a user through interfacing with an interpretation and translation apparatus of the other party. The method includes: automatically setting a translation target language which enables to communicate with the other party based on a message from the interpretation and translation apparatus of the other party by using a communication connection in a network; receiving input information of a use language of the user; calling a translator corresponding to the translation target language to transmit a result obtained by translating the input information into the translation target language to the interpretation and translation apparatus of the other party; and outputting received data from the interpretation and translation apparatus of the other party or outputting the result obtained by translating the received data into the use language of the user by using the translator.
Abstract:
A method of correcting errors in a speech recognition system includes a process of searching a speech recognition error-answer pair DB based on a sound model for a first candidate answer group for a speech recognition error, a process of searching a word relationship information DB for a second candidate answer group for the speech recognition error, a process of searching a user error correction information DB for a third candidate answer group for the speech recognition error, a process of searching a domain articulation pattern DB and a proper noun DB for a fourth candidate answer group for the speech recognition error, and a process of aligning candidate answers within each of the retrieved candidate answer groups and displaying the aligned candidate answers.
Abstract:
Provided are an automatic interpretation system and method for generating a synthetic sound having characteristics similar to those of an original speaker's voice. The automatic interpretation system for generating a synthetic sound having characteristics similar to those of an original speaker's voice includes a speech recognition module configured to generate text data by performing speech recognition for an original speech signal of an original speaker and extract at least one piece of characteristic information among pitch information, vocal intensity information, speech speed information, and vocal tract characteristic information of the original speech, an automatic translation module configured to generate a synthesis-target translation by translating the text data, and a speech synthesis module configured to generate a synthetic sound of the synthesis-target translation.