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    • 1. 发明申请
    • AUTOMATIC TRANSLATION METHOD AND SYSTEM BASED ON CORRESPONDING SENTENCE PATTERN
    • 自动翻译方法和系统基于相应的句型
    • US20080109228A1
    • 2008-05-08
    • US11924102
    • 2007-10-25
    • Jun PARKSeung Hi KIMHyung Bae JEONYoung Jik LEEHoon CHUNG
    • Jun PARKSeung Hi KIMHyung Bae JEONYoung Jik LEEHoon CHUNG
    • G10L11/00
    • G10L15/18G06F17/2872G10L13/10
    • 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.
    • 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。
    • 2. 发明申请
    • METHOD AND APPARATUS FOR RECOGNIZING SPEECH
    • 用于识别语音的方法和装置
    • US20090076817A1
    • 2009-03-19
    • US12047634
    • 2008-03-13
    • Hyung Bae JEONKyu Woong HWANGSeung Hi KIMHoon CHUNGJun PARKYun Keun LEE
    • Hyung Bae JEONKyu Woong HWANGSeung Hi KIMHoon CHUNGJun PARKYun Keun LEE
    • G10L15/00
    • G10L15/187G10L2015/025
    • Provided are an apparatus and method for recognizing speech, in which reliability with respect to phoneme-recognized phoneme sequences is calculated and performance of speech recognition is enhanced using the calculated results. The method of recognizing speech includes the steps of: determining a boundary between phonemes included in character sequences that are phonetically input to detect each phoneme interval; calculating reliability according to a probability that a phoneme indicated by the detected phoneme interval corresponds to a phoneme included in a predefined phoneme model; calculating a phoneme alignment cost with respect to the character sequences based on the calculated reliability and a pre-trained and stored phoneme recognition probability distribution; and performing phoneme alignment based on the calculated phoneme alignment cost to perform speech recognition on the input character sequences. As a result, reliability with respect to the phoneme-recognized phoneme sequences can be calculated, and the performance of speech recognition can be enhanced using the calculated results.
    • 提供了一种用于识别语音的装置和方法,其中计算相对于音素识别的音素序列的可靠性,并且使用所计算的结果来增强语音识别的性能。 识别语音的方法包括以下步骤:确定语音输入的字符序列中包含的音素之间的边界,以检测每个音素间隔; 根据由检测到的音素间隔指示的音素对应于包含在预定音素模型中的音素的概率来计算可靠性; 基于计算的可靠性和预先训练和存储的音素识别概率分布来计算相对于字符序列的音素对准成本; 并且基于计算的音素对准成本执行音素对准以对输入的字符序列执行语音识别。 结果,可以计算相对于音素识别的音素序列的可靠性,并且可以使用计算结果来增强语音识别的性能。
    • 6. 发明申请
    • METHOD AND APPARATUS FOR RECOGNIZING SPEECH
    • 用于识别语音的方法和装置
    • US20120166194A1
    • 2012-06-28
    • US13335854
    • 2011-12-22
    • Ho-Young JUNGJeon-Gue PARKHoon CHUNG
    • Ho-Young JUNGJeon-Gue PARKHoon CHUNG
    • G10L15/10G10L15/04
    • G10L15/02G10L15/04G10L15/142
    • Disclosed herein are an apparatus and method for recognizing speech. The apparatus includes a frame-based speech recognition unit, a segment division unit, a segment feature extraction unit, a segment speech recognition performance unit, and a combination and synchronization unit. The frame-based speech recognition unit extracts frame speech feature vectors from a speech signal, and performs speech recognition on frames of the speech signal using the frame speech feature vectors and a frame-based probability model. The segment division unit divides the speech signal into segments. The segment feature extraction unit extracts segment speech feature vectors around a boundary between the segments. The segment speech recognition performance unit performs speech recognition on the segments of the speech signal using the segment speech feature vectors and a segment-based probability model. The combination and synchronization unit combines results of the speech recognition for the frames with results of the speech recognition for the segments.
    • 这里公开了一种用于识别语音的装置和方法。 该装置包括基于帧的语音识别单元,段划分单元,段特征提取单元,段语音识别执行单元以及组合和同步单元。 基于帧的语音识别单元从语音信号提取帧语音特征向量,并使用帧语音特征向量和基于帧的概率模型对语音信号的帧执行语音识别。 分段单元将语音信号划分成段。 段特征提取单元在段之间的边界周围提取段语音特征向量。 段语音识别性能单元使用段语音特征向量和基于段的概率模型对语音信号的段执行语音识别。 组合和同步单元将帧的语音识别结果与段的语音识别结果相结合。