Abstract:
PURPOSE: An utterance verification apparatus based on a word reliability threshold and a method thereof are provided to apply different reliability threshold to each word recognized in a word-based utterance verification system with respect to a voice recognition result. CONSTITUTION: A phoneme segment information extractor(130) extracts phoneme segment information with the analysis of a recognized word. Likelihood value calculators(140,150) calculate an likelihood value for the extracted phoneme and half-phoneme. A threshold calculator(170) calculates a threshold value corresponding to the recognized word. A comparator(190) compares the threshold value with an LLR(Log Likelihood Ratio) calculated by the likelihood value calculator. According to a comparison result, the comparator outputs or secludes a voice recognition result.
Abstract:
PURPOSE: A material-distribution search method using a voice recognizing function and a method thereof are provided to search a proper transportation request by searching a distribution in the moving route in real time. CONSTITUTION: The location of a truck is traced and a truck owner selects a freight search mode through a voice(202). If the selected freight search mode is an automatic search mode, the truck owner selects the forward data search or the backward data search through a voice(203,204). If the forward data search is selected, the transportation request information after the current location is provided(205). If the backward data search is selected, the transportation request information prior to the current location is provided(206).
Abstract:
PURPOSE: A voice recognition apparatus for generating a plurality of recognition results is provided to generate N-best recognition results using a phoneme column-based search unit. CONSTITUTION: A continuous voice recognition unit(101) performs the voice recognition of input voice data. The continuous voice recognition unit outputs a word column which is most similar to the input voice data as a recognition result. A phoneme column converter(102) changes the recognition result into a phoneme column. A phoneme column-based search unit(103) searches a plurality of word columns of which a phoneme column distance is contiguity with the recognition result from a language model(105).
Abstract:
PURPOSE: A voice recognition apparatus and method having two-step utterance verification structure for reducing the complexity of N-best recognized word calculation are provided to induce the re-utterance of a user or notify the user of an utterance error. CONSTITUTION: Using a first model, a voice recognition module(130) recognizes the voice of input voice data. The voice recognition module outputs a first N-best word list. An utterance verification module(140) creates a second N-best word list. Using a second model, the utterance verification module creates a final N-best word list from the second N-best word list.
Abstract:
PURPOSE: An apparatus and a method for discriminating a speech from music are provided to accurately discriminate a voice from a music for each section by configuring a complex vector value through a similarity test value. CONSTITUTION: A similarity test unit(104) tests voice or music signal similarity for an audio signal by comparing each feature vector value with a voice and music decision model value by feature vector. A complex feature vector extractor(106) constitutes the complex feature vector value based on similarity test value. A voice/music classification unit(108) discriminate a voice or music signal by section from the audio signal by comparing the corresponding voice and music discrimination model with the complex feature vector.
Abstract:
PURPOSE: A meta data searcher, a search method and an IPTV receiving apparatus for using the voice recognition of user uttered data by previously extracting an allomorph about a contents title are provided to search the contents which user desires by using information search functions and voice recognition. CONSTITUTION: A metadata processor(250) processes content meta data to inform data. A metadata storage unit stores content meta data. A voice recognizer(230) performs the voice recognition about firing data. A query processor(240) extracts the search word from the voice-recognized vocabulary. A search processor extracts content meta data corresponding to the search word.
Abstract:
PURPOSE: An utterance verification apparatus and a method thereof are provided, which can improve the reliability about the voice recognition result by performing the whole utterance verification about the word after the performance of the partial utterance verification about each sub word. CONSTITUTION: A sub word likelihood ratio calculator(204) calculates the sub word likelihood ratio about the divided sub word. A likelihood ratio weight applying unit(206) applies the weighted value of likelihood ratio according to the recognition reliability to the calculated sub word likelihood ratio. A word likelihood ratio calculator(208) calculates the word likelihood ratio by using the sub word likelihood ratio. A speech verification decision unit(210) decides the output of the word after the utterance verification with the calculated word likelihood ratio.
Abstract:
A method for creating and controlling AI characters in fighting action games are provided to enable the AI character to autonomously learn a game rule through fighting with a randomly operated character in an initial stage. An input layer inputs action of an opponent character, action steps, a distance between the opponent character and the AI character, and past action of both characters by using an integer. A hidden layer finds an optimal hidden node by using a non-linear model for estimating the action of the opponent character, the action steps, the distance between the opponent character and the AI character, and the past action of both characters. An output layer selects output nodes as many as the number of actions available to the AI. The AI selects the action outputting the biggest value among the available actions.
Abstract:
본 발명은 음성인식을 이용한 외국어 말하기 능력 훈련 및 평가 방법에 관한 것으로, 보다 상세하게는 컴퓨터 또는 기타 측정장치를 이용하여 외국어 말하기 능력을 사용자 스스로 훈련하고 평가하는 방법에 관한 것이다. 본 발명의 음성인식을 이용한 외국어 말하기 능력 훈련 및 평가 방법은 제1사용자로부터 발성된 외국어 음성신호를 입력 받는 단계, 입력 받은 음성신호를 레코딩하는 단계, 레코딩된 음성신호를 재생하여 제2사용자에게 제공하는 단계, 제공된 음성신호에 대응되는 텍스트 데이터를 제2사용자로부터 입력 받는 단계, 입력 받은 텍스트 데이터와 상기 레코딩된 음성신호를 비교하여 정확도를 측정하는 단계, 및 측정된 정확도에 따른 평가결과를 상기 제1사용자에게 제공하는 단계를 포함한다.