Electronics and Telecommunications Research Institute

Seung Hi Kim

Sang Hun Kim

Jun Soo Park

Sang Kyu Park

Young Jik Lee

Hyung Bae Jeon

Soo Jong Lee

Dong Hyun Kim

Ki Hyun Kim

Kyu Woong Hwang

Hoon Chung

Seung Yun

Min Kyu Lee

Mu Yeol Choi

Sanghun Kim

Jeong Se Kim

Ilbin Lee

A speech recognition method capable of automatic generation of phones according to the present invention includes: unsupervisedly learning a feature vector of speech data; generating a phone set by clustering acoustic features selected based on an unsupervised learning result; allocating a sequence of phones to the speech data on the basis of the generated phone set; and generating an acoustic model on the basis of the sequence of phones and the speech data to which the sequence of phones is allocated.

Speech recognition system and method

Disclosed is an apparatus for speech recognition and automatic translation operated in a PC or a mobile device. The apparatus for speech recognition according to the present invention includes a display unit that displays a screen for selecting a domain as a unit for a speech recognition region previously sorted for speech recognition to a user; a user input unit that receives a selection of a domain from the user; and a communication unit that transmits the user selection information for the domain. According to the present invention, the apparatus for speech recognition using an intuitive and simple user interface is provided to a user to enable the user to easily select/correct a designation domain of a speech recognition system and improve accuracy and performance of speech recognition and automatic translation by the designated system for speech recognition.

Apparatus and method for speech recognition

A voice recognition system that divides a search space for voice recognition into a general domain search space and a specific domain search space. A mobile terminal receives a voice recognition target word from a user, and a voice recognition server divides a search space for voice recognition into a general domain search space and a specific domain search space and stores the spaces and performs voice recognition for the voice recognition target word through linkage of the general domain search space and the specific domain search space.

Voice recognition system for replacing specific domain, mobile device and method thereof

A speech understanding apparatus includes: a speech recognition unit for recognizing an input speech to produce a speech recognition result; a sentence analysis unit for performing morpheme analysis on a sentence corresponding to the speech recognition result, extracting additional information, and performing syntax analysis; a hierarchy describing unit for describing hierarchy of the sentence; a class transformation unit for performing class transformation on the sentence; a semantic representation determination unit for marking optional expressions for the sentence, deleting meaningless expressions and the additional information, converting the sentence into its base form, and deleting morphemic tags or symbols to determine a semantic representation; a semantic representation retrieval unit for retrieving the determined semantic representation from an example-based semantic representation pattern database; and a retrieval result processing unit for selectively producing a retrieved semantic representation.

Speech understanding system using an example-based semantic representation pattern

Provided are an apparatus and method for recognizing continuous speech using search space restriction based on phoneme recognition. In the apparatus and method, a search space can be primarily reduced by restricting connection words to be shifted at a boundary between words based on the phoneme recognition result. In addition, the search space can be secondarily reduced by rapidly calculating a degree of similarity between the connection word to be shifted and the phoneme recognition result using a phoneme code and shifting the corresponding phonemes to only connection words having degrees of similarity equal to or higher than a predetermined reference value. Therefore, the speed and performance of the speech recognition process can be improved in various speech recognition services.

Method and apparatus for recognizing continuous speech using search space restriction based on phoneme recognition

Provided are an automatic speech translation system and a method for obtaining accurate translation performance with a simple structure. Because input and output sentences are written in different languages, automatic speech translation requires techniques for processing different languages. Repetition of text processing like morpheme analysis or sentence parsing in conventional automatic speech translation can complicate the overall translation process. Meanwhile, although input and output sentences are written in different languages, they have to have the same meaning and a corresponding sentence form and words. Accordingly, the corresponding words and sentence forms of the two languages can be expressed with a simple structure and utilized in the automatic speech translation process, thereby maintaining consistency during the process and avoiding unnecessary process repetition, which reduces errors and improves performance.

Automatic translation method and system based on corresponding sentence pattern

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Daejeon, South Korea

Seung Hi Kim