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    • 23. 发明申请
    • Speech recognition method, apparatus and navigation system
    • 语音识别方法,装置和导航系统
    • US20060100871A1
    • 2006-05-11
    • US11253641
    • 2005-10-20
    • In-jeong ChoiJeong-su KimKwang-il Hwang
    • In-jeong ChoiJeong-su KimKwang-il Hwang
    • G10L15/04
    • G01C21/3629G01C21/3608G01C21/3664G10L15/22
    • A speech recognition method and apparatus and a navigation system having the speech recognition apparatus are provided. The speech recognition method includes capturing speech as speech signal and extracting features from the speech signal, selecting candidates of a subword among subwords of the word based on the extracted features and displaying the candidate subwords for the subword, selecting candidates of a next subword following the subword based on the selected candidates of the subword and displaying the candidates of the next subword, and determining whether the user has selected one of the candidates of the next subword and, if not, selecting candidates of subwords following the next subword based on the series of subwords that have been previously selected by the user and displaying the selected candidates of the next subword.
    • 提供具有语音识别装置的语音识别方法和装置以及导航系统。 语音识别方法包括将语音作为语音信号进行采集,并从语音信号中提取特征,基于所提取的特征选择单词的子词中的子词的候选,并显示子词的候选词,选择下一个子词的候选 基于所选择的子词的候选者的子字,并显示下一个子词的候选,并且确定用户是否已经选择了下一个子词的候选中的一个,如果不是,则基于该系列选择下一个子词后的子词的候选 的以前由用户选择并显示下一个子词的选定候选者的子词。
    • 24. 发明授权
    • Apparatus and method for detecting named entity
    • 用于检测命名实体的装置和方法
    • US08655646B2
    • 2014-02-18
    • US11498050
    • 2006-08-03
    • Jae-won LeeIn-ho KangJeong-su KimHae-chang Rim
    • Jae-won LeeIn-ho KangJeong-su KimHae-chang Rim
    • G06F17/27G06F17/30G06F17/28
    • G06F17/278G10L15/18
    • An apparatus and method for detecting a named-entity. The apparatus includes a candidate-named-entity extraction module that detects a candidate-named-entity based on an initial learning example and feature information regarding morphemes constituting an inputted sentence, the candidate-named-entity extraction module providing a tagged sentence including the detected candidate-named-entity; a storage module that stores information regarding a named-entity dictionary and a rule; and a learning-example-regeneration module for finally determining whether the candidate-named-entity included in the provided sentence is a valid named-entity, based on the named-entity dictionary and the rule, the learning-example-regeneration module providing the sentence as a learning example, based on a determination result, so that a probability of candidate-named-entity detection is gradually updated.
    • 一种用于检测命名实体的装置和方法。 该装置包括候选名称实体提取模块,其基于初始学习示例和关于构成输入句子的语素的特征信息来检测候选名称实体,候选名称实体提取模块提供包括检测到的标记语句的标记语句 候选名称实体; 存储有关命名实体字典和规则的信息的存储模块; 以及基于命名实体字典和规则,最终确定包括在所提供的句子中的候选名称实体是否是有效命名实体的学习示例再生模块,所述学习示例再生模块提供 句子作为学习示例,基于确定结果,使得候选命名实体检测的概率逐渐更新。
    • 25. 发明授权
    • User adaptive speech recognition method and apparatus
    • 用户自适应语音识别方法和装置
    • US07996218B2
    • 2011-08-09
    • US11354942
    • 2006-02-16
    • Jung-eun KimJeong-su Kim
    • Jung-eun KimJeong-su Kim
    • G10L15/00
    • G10L15/22G10L15/08G10L2015/0631
    • A user adaptive speech recognition method and apparatus is disclosed that controls user confirmation of a recognition candidate using a new threshold value adapted to a user. The user adaptive speech recognition method includes calculating a confidence score of a recognition candidate according to the result of speech recognition, setting a new threshold value adapted to the user based on a result of user confirmation of the recognition candidate and the confidence score of the recognition candidate, and outputting a corresponding recognition candidate as a result of the speech recognition if the calculated confidence score is higher than the new threshold value. Thus, the need for user confirmation of the result of speech recognition is reduced and the probability of speech recognition success is increased.
    • 公开了一种用户自适应语音识别方法和装置,其使用适合于用户的新阈值来控制用户对识别候选者的确认。 用户自适应语音识别方法包括根据语音识别结果计算识别候选者的置信度分数,根据识别候选者的用户确认结果和识别的置信度分数设定适合用户的新阈值 并且如果所计算的置信度分数高于新阈值,则作为语音识别的结果输出相应的识别候选。 因此,减少了对用户对语音识别结果的确认的需要,并提高了语音识别成功的概率。
    • 26. 发明申请
    • Method and apparatus for speech recognition using device usage pattern of user
    • 用户使用设备使用模式进行语音识别的方法和装置
    • US20080167871A1
    • 2008-07-10
    • US11878595
    • 2007-07-25
    • Kyu-hong KimJeong-su KimIck-Sang Han
    • Kyu-hong KimJeong-su KimIck-Sang Han
    • G10L15/00
    • G10L15/22G10L2015/227
    • A method and apparatus for improving the performance of voice recognition in a mobile device are provided. The method of recognizing a voice includes: monitoring the usage pattern of a user of a device for inputting a voice; selecting predetermined words from among words stored in the device based on the result of monitoring, and storing the selected words; and recognizing a voice based on an acoustic model and predetermined words. In this way, a voice can be recognized by using prediction of whom the user mainly makes a call to. Also, by automatically modeling the device usage pattern of the user and applying the pattern to vocabulary for voice recognition based on probabilities, the performance of voice recognition, as actually felt by the user, can be enhanced.
    • 提供了一种用于提高移动设备中语音识别性能的方法和装置。 识别语音的方法包括:监视用于输入语音的设备的用户的使用模式; 基于监视结果从存储在设备中的字中选择预定字,并存储所选择的字; 以及基于声学模型和预定词语识别语音。 以这种方式,可以通过使用用户主要呼叫的人的预测来识别语音。 另外,通过对用户的设备使用模式进行自动建模并将该模式​​应用于基于概率的语音识别的词汇表,可以增强用户实际感觉到的语音识别的性能。
    • 27. 发明授权
    • System and method for speech synthesis using a smoothing filter
    • 使用平滑滤波器进行语音合成的系统和方法
    • US07277856B2
    • 2007-10-02
    • US10284189
    • 2002-10-31
    • Ki-seung LeeJeong-su KimJae-won Lee
    • Ki-seung LeeJeong-su KimJae-won Lee
    • G10L13/00
    • G10L13/07
    • A speech synthesis system for controlling a discontinuous distortion that occurs at the transition portion between concatenated phonemes which are speech units of a synthesized speech using a smoothing technique, comprising: a discontinuous distortion processing means adapted to predict a discontinuity at the transition portion between concatenated samples of phonemes used for a speech synthesis through a predetermined learning process, and control a discontinuity at the transition portion between the concatenated phonemes of the synthesized speech in such a fashion that it is smoothed adaptively to correspond to a degree of the predicted discontinuity. The smoothing filter smoothes the synthesized speech so that the discontinuity degree of synthesized speech follows the predicted discontinuity degree according to the filter coefficient (a) changed adaptively to correspond to a ratio of the predicted discontinuity degree to the real discontinuity degree. That is, since a discontinuity at a transition portion between concatenated phonemes of the synthesized speech (IN) is adaptively smoothed to follow that which occurs in the actually spoken sound, the synthesized speech (IN) can be approximated more closely to a real human voice.
    • 一种用于控制在作为使用平滑技术的合成语音的语音单元的级联音素之间的过渡部分处发生的不连续失真的语音合成系统,包括:不连续失真处理装置,用于预测级联样本之间的过渡部分处的不连续性 用于通过预定学习过程进行语音合成的音素,并且以合成语音的级联音素之间的转换部分以这样的方式控制不连续性,使得它被自适应地平滑地对应于预测的不连续性的程度。 平滑滤波器对合成语音进行平滑,使得合成语音的不连续度遵循根据预测不连续度与实际不连续度的比率自适应地改变的滤波器系数(a)的预测不连续度。 也就是说,由于在合成语音(IN)的级联音素之间的过渡部分处的不连续性被自适应地平滑以跟随发生在实际语音中的音频,所以合成语音(IN)可以更接近于真正的人类语音 。
    • 28. 发明申请
    • Apparatus and method for recognizing voice
    • 用于识别语音的装置和方法
    • US20070083371A1
    • 2007-04-12
    • US11475963
    • 2006-06-28
    • Sang-bae JeongNam-hoon KimJeong-su KimIn-jeong ChoiIck-sang Han
    • Sang-bae JeongNam-hoon KimJeong-su KimIn-jeong ChoiIck-sang Han
    • G10L15/14
    • G10L15/142
    • An apparatus and method for recognizing voice. The apparatus includes a feature vector extraction unit dividing an input voice signal into predetermined unit regions, and extracting feature vectors corresponding to each of the unit regions; a predicted node extraction unit extracting a list of second nodes whose travels to a first node corresponding to the extracted feature vectors are predicted, with reference to a network of one or more nodes; a single waveform similarity calculation unit calculating degrees of single waveform similarity of the first node and the second nodes of the list by substituting the extracted feature vectors into single waveform probability distributions that constitute voice signals corresponding to the second nodes; a multiple waveform similarity calculation unit calculating degrees of multiple waveform similarity by substituting the extracted feature vectors into multiple waveform probability distributions that constitute single waveform probability distributions usable to calculate the degrees of single waveform similarity in a preset range; and an output unit outputting a function-performing signal corresponding to a multiple waveform probability distribution that enables calculation of a highest of the calculated degrees of multiple waveform similarity.
    • 用于识别语音的装置和方法。 该装置包括:特征向量提取单元,将输入的语音信号划分为预定的单位区域;提取与每个单位区域对应的特征向量; 参考一个或多个节点的网络,预测提取与对应于所提取的特征向量的对第一节点的行进的第二节点的列表的预测节点提取单元; 单个波形相似度计算单元,通过将提取的特征向量代入构成对应于第二节点的语音信号的单波形概率分布来计算第一节点和列表的第二节点的单波形相似度的度数; 多波形相似度计算单元,通过将所提取的特征向量代入构成单个波形概率分布的多个波形概率分布来计算多个波形相似度,以计算预设范围内的单一波形相似度; 以及输出单元,输出与多波形概率分布相对应的功能执行信号,能够计算所计算出的多重波形相似度的最高值。