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    • 5. 发明授权
    • Training speech recognition word models from word samples synthesized by Monte Carlo techniques
    • 通过蒙特卡罗技术合成的单词样本训练语音识别词模型
    • US07133827B1
    • 2006-11-07
    • US10361154
    • 2003-02-06
    • Laurence S. GillickDonald R. McAllasterDaniel L. Roth
    • Laurence S. GillickDonald R. McAllasterDaniel L. Roth
    • G10L15/06
    • G10L15/063
    • A new word model is trained from synthetic word samples derived by Monte Carlo techniques from one or more prior word models. The prior word model can be a phonetic word model and the new word model can be a non-phonetic, whole-word, word model. The prior word model can be trained from data that has undergone a first channel normalization and the synthesized word samples from which the new word model is trained can undergo a different channel normalization similar to that to be used in a given speech recognition context. The prior word model can have a first model structure and the new word model can have a second, different, model structure. These differences in model structure can include, for example, differences of model topology; differences of model complexity; and differences in the type of basis function used in a description of such probability distributions.
    • 从一个或多个先前的单词模型通过蒙特卡罗技术衍生的合成词样本训练新的单词模型。 先验词模型可以是语音模型,新词模型可以是非语音,全字,单词模型。 可以从已经经历第一信道规范化的数据训练现有单词模型,并且从其中训练新单词模型的合成单词样本可以经历与在给定语音识别上下文中使用相似的不同信道规范化。 先验词模型可以具有第一模型结构,并且新词模型可以具有第二,不同的模型结构。 模型结构的这些差异可以包括例如模型拓扑的差异; 模型复杂性差异; 以及在这种概率分布的描述中使用的基函数的类型的差异。
    • 6. 发明申请
    • Local storage and use of search results for voice-enabled mobile communications devices
    • 本地存储和使用支持语音的移动通信设备的搜索结果
    • US20080154612A1
    • 2008-06-26
    • US11673997
    • 2007-02-12
    • Gunnar EvermannDaniel L. RothLaurence S. GillickJames Coughlin
    • Gunnar EvermannDaniel L. RothLaurence S. GillickJames Coughlin
    • G10L11/00
    • H04M1/72522G10L15/26H04M2250/74
    • A method implemented on a mobile device that includes speech recognition functionality involves: receiving an utterance from a user of the mobile device, the utterance including a spoken search request; recognizing that the utterance includes a spoken search request; sending a representation of the spoken search request to a remote server over a wireless data connection; receiving search results over the wireless data connection that are responsive to the search request; storing the results on the mobile device; receiving a subsequent search request; performing a subsequent search responsive to the subsequent search request to generate subsequent search results, the subsequent search including searching the stored search results; and presenting the subsequent results on the mobile device. The method also involves indexing the stored results according to the user's search request, enhancing the device's ability to recognize frequently requested searches, and pre-loading the device with results corresponding to certain frequently requested searches.
    • 在包括语音识别功能的移动设备上实现的方法包括:从移动设备的用户接收话语,话语包括语音搜索请求; 认识到话语包括口语搜索请求; 通过无线数据连接向远程服务器发送口语搜索请求的表示; 通过无线数据连接接收响应于搜索请求的搜索结果; 将结果存储在移动设备上; 接收随后的搜索请求; 响应于所述后续搜索请求执行后续搜索以产生后续搜索结果,所述后续搜索包括搜索所存储的搜索结果; 并在移动设备上呈现后续结果。 该方法还包括根据用户的搜索请求索引存储的结果,增强设备识别频繁请求的搜索的能力,以及对与特定频繁请求的搜索相对应的结果预加载设备。
    • 7. 发明授权
    • Speech recognition using automatic recognition turn off
    • 语音识别使用自动识别关闭
    • US07716058B2
    • 2010-05-11
    • US10949972
    • 2004-09-24
    • Daniel L. RothJordan R. CohenDavid F. Johnston
    • Daniel L. RothJordan R. CohenDavid F. Johnston
    • G10L15/28
    • G10L15/22G10L15/19
    • Large vocabulary speech recognition can automatically turn recognition off in one or more ways. A user command can turn on recognition that is automatically turned off after the next end of utterance. A plurality of buttons can each be associated with a different speech mode and the touch of a given button can turn on, and then automatically turn off, the given button's associated speech recognition mode. These selectable modes can include large vocabulary and alphabetic entry modes, or continuous and discrete modes. A first user input can start recognition that allows a sequence of vocabulary words to be recognized and a second user input can start recognition that turns off after one word has been recognized. A first user input can start recognition that allows a sequence of utterances to be recognized and a second user input can start recognition that allows only a single utterance to be recognized.
    • 大词汇语音识别可以以一种或多种方式自动转移识别。 用户命令可以打开在下一个结束语句后自动关闭的识别。 多个按钮可以各自与不同的语音模式相关联,并且给定按钮的触摸可以打开,然后自动关闭给定按钮的相关语音识别模式。 这些可选择的模式可以包括大词汇和字母输入模式,或连续和离散模式。 第一用户输入可以开始识别,其允许识别词汇序列的序列,并且第二用户输入可以开始识别,一个字被识别之后关闭。 第一用户输入可以开始识别,其允许识别一系列话语,并且第二用户输入可以开始仅允许单个话语被识别的识别。