Method for estimating language model weight and system for the same
    1.
    发明授权
    Method for estimating language model weight and system for the same 失效
    用于估计语言模型权重和系统的方法

    公开(公告)号:US08666739B2

    公开(公告)日:2014-03-04

    申请号:US13324414

    申请日:2011-12-13

    IPC分类号: G10L15/00

    CPC分类号: G10L15/065 G10L15/187

    摘要: Method of the present invention may include receiving speech feature vector converted from speech signal, performing first search by applying first language model to the received speech feature vector, and outputting word lattice and first acoustic score of the word lattice as continuous speech recognition result, outputting second acoustic score as phoneme recognition result by applying an acoustic model to the speech feature vector, comparing the first acoustic score of the continuous speech recognition result with the second acoustic score of the phoneme recognition result, outputting first language model weight when the first coustic score of the continuous speech recognition result is better than the second acoustic score of the phoneme recognition result and performing a second search by applying a second language model weight, which is the same as the output first language model, to the word lattice.

    摘要翻译: 本发明的方法可以包括接收从语音信号转换的语音特征向量,通过对接收的语音特征向量应用第一语言模型来执行第一搜索,并且将字格的字格和第一声分数输出为连续语音识别结果,输出 第二声学分数作为音素识别结果,通过对语音特征向量应用声学模型,将连续语音识别结果的第一声学分数与音素识别结果的第二声学分数进行比较,当第一个coustic分数输出第一语言模型权重时, 连续语音识别结果比音素识别结果的第二声分数更好,并且通过将与输出第一语言模型相同的第二语言模型权重应用于单词格来进行第二搜索。

    METHOD FOR ESTIMATING LANGUAGE MODEL WEIGHT AND SYSTEM FOR THE SAME
    2.
    发明申请
    METHOD FOR ESTIMATING LANGUAGE MODEL WEIGHT AND SYSTEM FOR THE SAME 失效
    用于估算语言模型重量和系统的方法

    公开(公告)号:US20120150539A1

    公开(公告)日:2012-06-14

    申请号:US13324414

    申请日:2011-12-13

    IPC分类号: G10L15/00

    CPC分类号: G10L15/065 G10L15/187

    摘要: Method of the present invention may include receiving speech feature vector converted from speech signal, performing first search by applying first language model to the received speech feature vector, and outputting word lattice and first acoustic score of the word lattice as continuous speech recognition result, outputting second acoustic score as phoneme recognition result by applying an acoustic model to the speech feature vector, comparing the first acoustic score of the continuous speech recognition result with the second acoustic score of the phoneme recognition result, outputting first language model weight when the first coustic score of the continuous speech recognition result is better than the second acoustic score of the phoneme recognition result and performing a second search by applying a second language model weight, which is the same as the output first language model, to the word lattice.

    摘要翻译: 本发明的方法可以包括接收从语音信号转换的语音特征向量,通过对接收的语音特征向量应用第一语言模型来执行第一搜索,并且将字格的字格和第一声分数输出为连续语音识别结果,输出 第二声学分数作为音素识别结果,通过对语音特征向量应用声学模型,将连续语音识别结果的第一声学分数与音素识别结果的第二声学分数进行比较,当第一个coustic分数输出第一语言模型权重时, 连续语音识别结果比音素识别结果的第二声分数更好,并且通过将与输出第一语言模型相同的第二语言模型权重应用于单词格来进行第二搜索。

    Automatic translation method and system based on corresponding sentence pattern
    7.
    发明授权
    Automatic translation method and system based on corresponding sentence pattern 失效
    基于相应句型的自动翻译方法和系统

    公开(公告)号:US08015016B2

    公开(公告)日:2011-09-06

    申请号:US11924102

    申请日:2007-10-25

    IPC分类号: G10L21/00 G06F17/27 G06F17/28

    摘要: 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.

    摘要翻译: 提供了一种自动语音翻译系统和一种以简单的结构获得准确的翻译性能的方法。 由于输入和输出句子是用不同的语言编写的,所以自动语音翻译需要处理不同语言的技术。 在常规自动语音翻译中重复文本处理,如语素分析或句法解析可能会使整个翻译过程复杂化。 同时,虽然输入和输出句子是用不同的语言编写的,但它们必须具有相同的含义和相应的句子形式和单词。 因此,两种语言的对应单词和句子形式可以用简单的结构表示,并在自动语音翻译过程中使用,从而保持过程中的一致性,避免不必要的过程重复,从而减少错误并提高性能。

    Method and apparatus for recognizing continuous speech using search space restriction based on phoneme recognition
    8.
    发明授权
    Method and apparatus for recognizing continuous speech using search space restriction based on phoneme recognition 有权
    基于音素识别的搜索空间限制识别连续语音的方法和装置

    公开(公告)号:US08032374B2

    公开(公告)日:2011-10-04

    申请号:US11950130

    申请日:2007-12-04

    IPC分类号: G10L15/04

    CPC分类号: G10L15/187 G10L2015/025

    摘要: 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.

    摘要翻译: 提供了一种使用基于音素识别的搜索空间限制来识别连续语音的装置和方法。 在该装置和方法中,可以通过基于音素识别结果来限制在字之间的边界处被移位的连接字来主要减少搜索空间。 此外,通过使用音素码快速计算要移位的连接字和音素识别结果之间的相似度的程度,可以二次减小搜索空间,并将相应的音素移位到仅具有等于或更高相似度的相似度的连接词 比预定的参考值。 因此,可以在各种语音识别服务中提高语音识别处理的速度和性能。

    METHOD AND APPARATUS FOR RECOGNIZING CONTINUOUS SPEECH USING SEARCH SPACE RESTRICTION BASED ON PHONEME RECOGNITION
    9.
    发明申请
    METHOD AND APPARATUS FOR RECOGNIZING CONTINUOUS SPEECH USING SEARCH SPACE RESTRICTION BASED ON PHONEME RECOGNITION 有权
    使用基于语音识别的搜索空间限制来识别连续语音的方法和装置

    公开(公告)号:US20080133239A1

    公开(公告)日:2008-06-05

    申请号:US11950130

    申请日:2007-12-04

    IPC分类号: G10L15/04

    CPC分类号: G10L15/187 G10L2015/025

    摘要: 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.

    摘要翻译: 提供了一种使用基于音素识别的搜索空间限制来识别连续语音的装置和方法。 在该装置和方法中,可以通过基于音素识别结果来限制在字之间的边界处被移位的连接字来主要减少搜索空间。 此外,通过使用音素码快速计算要移位的连接字和音素识别结果之间的相似度的程度,可以二次减小搜索空间,并将相应的音素移位到仅具有等于或更高相似度的相似度的连接词 比预定的参考值。 因此,可以在各种语音识别服务中提高语音识别处理的速度和性能。