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    • 2. 发明申请
    • Method and apparatus for speech recognition using a dynamic vocabulary
    • 使用动态词汇表进行语音识别的方法和装置
    • US20050055210A1
    • 2005-03-10
    • US10912517
    • 2004-08-05
    • Anand VenkataramanHoracio FrancoDouglas A. Bercow
    • Anand VenkataramanHoracio FrancoDouglas A. Bercow
    • G10L15/06G10L15/18G10L15/00
    • G10L15/065G10L15/183
    • A method and apparatus are provided for performing speech recognition using a dynamic vocabulary. Results from a preliminary speech recognition pass can be used to update or refine a language model in order to improve the accuracy of search results and to simplify subsequent recognition passes. This iterative process greatly reduces the number of alternative hypotheses produced during each speech recognition pass, as well as the time required to process subsequent passes, making the speech recognition process faster, more efficient and more accurate. The iterative process is characterized by the use of results from one or more data set queries, where the keys used to query the data set, as well as the queries themselves, are constructed in a manner that produces more effective language models for use in subsequent attempts at decoding a given speech signal.
    • 提供了一种使用动态词汇表执行语音识别的方法和装置。 可以使用初步语音识别通行证的结果来更新或改进语言模型,以便提高搜索结果的准确性并简化后续识别通行证。 这种迭代过程大大减少了每个语音识别过程中产生的替代假设的数量,以及处理后续通过所需的时间,使得语音识别过程更快,更有效和更准确。 迭代过程的特征在于使用来自一个或多个数据集查询的结果,其中用于查询数据集的密钥以及查询本身以产生更有效的语言模型的方式来构造,以用于后续的 尝试解码给定的语音信号。
    • 7. 发明授权
    • Method and apparatus for speech recognition using a dynamic vocabulary
    • 使用动态词汇表进行语音识别的方法和装置
    • US07308404B2
    • 2007-12-11
    • US10912517
    • 2004-08-05
    • Anand VenkataramanHoracio E. FrancoDouglas A. Bercow
    • Anand VenkataramanHoracio E. FrancoDouglas A. Bercow
    • G10L15/18
    • G10L15/065G10L15/183
    • A method and apparatus are provided for performing speech recognition using a dynamic vocabulary. Results from a preliminary speech recognition pass can be used to update or refine a language model in order to improve the accuracy of search results and to simplify subsequent recognition passes. This iterative process greatly reduces the number of alternative hypotheses produced during each speech recognition pass, as well as the time required to process subsequent passes, making the speech recognition process faster, more efficient and more accurate. The iterative process is characterized by the use of results from one or more data set queries, where the keys used to query the data set, as well as the queries themselves, are constructed in a manner that produces more effective language models for use in subsequent attempts at decoding a given speech signal.
    • 提供了一种使用动态词汇表执行语音识别的方法和装置。 可以使用初步语音识别通行证的结果来更新或改进语言模型,以便提高搜索结果的准确性并简化后续识别通行证。 这种迭代过程大大减少了每个语音识别过程中产生的替代假设的数量,以及处理后续通过所需的时间,使得语音识别过程更快,更有效和更准确。 迭代过程的特征在于使用来自一个或多个数据集查询的结果,其中用于查询数据集的密钥以及查询本身以产生更有效的语言模型的方式来构造,以用于后续的 尝试解码给定的语音信号。