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    • 42. 发明申请
    • LANGUAGE MODEL ADAPTATION USING RESULT SELECTION
    • 使用结果选择语言模式适应
    • US20140365218A1
    • 2014-12-11
    • US13913032
    • 2013-06-07
    • Microsoft Corporation
    • Shuangyu ChangMichael Levit
    • G10L15/065G10L15/06G10L15/02
    • G10L15/065G10L15/02G10L15/063G10L15/19G10L15/32
    • A received utterance is recognized using different language models. For example, recognition of the utterance is independently performed using a baseline language model (BLM) and using an adapted language model (ALM). A determination is made as to what results from the different language model are more likely to be accurate. Different features may be used to assist in making the determination (e.g. language model scores, recognition confidences, acoustic model scores, quality measurements, . . . ) may be used. A classifier may be trained and then used in determining whether to select the results using the BLM or to select the results using the ALM. A language model may be automatically trained or re-trained that adjusts a weight of the training data used in training the model in response to differences between the two results obtained from applying the different language models.
    • 使用不同的语言模型识别接收的话语。 例如,使用基准语言模型(BLM)和使用适应语言模型(ALM)来独立地执行语音的识别。 确定不同语言模型的结果更有可能是准确的。 可以使用不同的特征来帮助确定(例如,语言模型得分,识别信心,声学模型得分,质量测量等)。 可以对分类器进行训练,然后用于确定是使用BLM选择结果还是使用ALM选择结果。 可以自动训练或重新训练语言模型,以响应于从应用不同语言模型获得的两个结果之间的差异来调整用于训练模型的训练数据的权重。
    • 44. 发明授权
    • Methods and system for grammar fitness evaluation as speech recognition error predictor
    • 语法适应度评估的方法和系统作为语音识别误差预测器
    • US08818813B2
    • 2014-08-26
    • US14046765
    • 2013-10-04
    • Sony Computer Entertainment Inc.
    • Gustavo A. Hernandez-Abrego
    • G10L15/18G10L15/19G10L15/187
    • G10L15/19G10L15/187
    • A plurality of statements are received from within a grammar structure. Each of the statements is formed by a number of word sets. A number of alignment regions across the statements are identified by aligning the statements on a word set basis. Each aligned word set represents an alignment region. A number of potential confusion zones are identified across the statements. Each potential confusion zone is defined by words from two or more of the statements at corresponding positions outside the alignment regions. For each of the identified potential confusion zones, phonetic pronunciations of the words within the potential confusion zone are analyzed to determine a measure of confusion probability between the words when audibly processed by a speech recognition system during the computing event. An identity of the potential confusion zones across the statements and their corresponding measure of confusion probability are reported to facilitate grammar structure improvement.
    • 从语法结构中接收到多个语句。 每个语句都由多个单词组形成。 通过在单词集合的基础上对齐语句来识别语句之间的多个对齐区域。 每个对齐的字集合表示对准区域。 在这些陈述中确定了一些潜在的混乱区域。 每个潜在的混淆区域由来自对准区域外的相应位置处的两个或多个语句的单词定义。 对于每个识别出的潜在混淆区域,分析潜在混淆区域内的单词的语音发音,以确定在计算事件期间由语音识别系统可听处理的单词之间的混淆概率的度量。 报告了整个语句中潜在混淆区域的身份及其对应的混淆概率,以促进语法结构的改进。
    • 47. 发明申请
    • FAST OUT-OF-VOCABULARY SEARCH IN AUTOMATIC SPEECH RECOGNITION SYSTEMS
    • 自动语音识别系统中的快速超频搜索
    • US20140188475A1
    • 2014-07-03
    • US13886205
    • 2013-05-02
    • GENESYS TELECOMMUNICATIONS LABORATORIES, INC.
    • Amir Lev-TovAvi FaizakofYochai Konig
    • G10L15/18
    • G10L15/19G06F17/30389G06F17/30746G06F17/30769G10L15/02G10L15/08G10L15/1815G10L15/30
    • A method including: receiving, on a computer system, a text search query, the query including one or more query words; generating, on the computer system, for each query word in the query, one or more anchor segments within a plurality of speech recognition processed audio files, the one or more anchor segments identifying possible locations containing the query word; post-processing, on the computer system, the one or more anchor segments, the post-processing including: expanding the one or more anchor segments; sorting the one or more anchor segments; and merging overlapping ones of the one or more anchor segments; and searching, on the computer system, the post-processed one or more anchor segments for instances of at least one of the one or more query words using a constrained grammar.
    • 一种方法,包括:在计算机系统上接收文本搜索查询,所述查询包括一个或多个查询词; 在所述计算机系统上为所述查询中的每个查询词生成多个语音识别处理的音频文件内的一个或多个锚段,所述一个或多个锚段标识包含所述查询词的可能位置; 在所述计算机系统上对所述一个或多个锚段进行后处理,所述后处理包括:扩展所述一个或多个锚段; 对一个或多个锚段进行排序; 并且合并所述一个或多个锚段中的重叠部分; 以及在所述计算机系统上使用约束语法来搜索所述后处理的一个或多个锚段,以针对所述一个或多个查询词中的至少一个的实例。