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    • 5. 发明授权
    • Virtual participant-based real-time translation and transcription system for audio and video teleconferences
    • 基于虚拟参与者的音视频电话会议实时翻译和转录系统
    • US09292500B2
    • 2016-03-22
    • US14486312
    • 2014-09-15
    • Google Inc.
    • Jakob David UszkoreitAshish VenugopalJohan SchalkwykJoshua James Estelle
    • G10L21/00G10L25/00G06F17/28G10L15/00H04M3/56
    • G06F17/289G10L15/005H04M3/568H04N7/155
    • The present disclosure describes a teleconferencing system that may use a virtual participant processor to translate language content of the teleconference into each participant's spoken language without additional user inputs. The virtual participant processor may connect to the teleconference as do the other participants. The virtual participant processor may intercept all text or audio data that was previously exchanged between the participants may now be intercepted by the virtual participant processor. Upon obtaining a partial or complete language recognition result or making a language preference determination, the virtual participant processor may call a translation engine appropriate for each of the participants. The virtual participant processor may send the resulting translation to a teleconference management processor. The teleconference management processor may deliver the respective translated text or audio data to the appropriate participant.
    • 本公开描述了一种电话会议系统,其可以使用虚拟参与者处理器将电话会议的语言内容翻译成每个参与者的口语,而不需要额外的用户输入。 虚拟参与者处理器可以像其他参与者一样连接到电话会议。 虚拟参与者处理器可以拦截以前在参与者之间交换的所有文本或音频数据现在可被虚拟参与者处理器拦截。 在获得部分或完整的语言识别结果或进行语言偏好确定时,虚拟参与者处理器可以调用适合每个参与者的翻译引擎。 虚拟参与者处理器可将所得到的翻译发送到电话会议管理处理器。 电话会议管理处理器可将相应的翻译文本或音频数据传送给适当的参与者。
    • 6. 发明申请
    • LANGUAGE MODELING OF COMPLETE LANGUAGE SEQUENCES
    • 完整语言序列的语言建模
    • US20140278407A1
    • 2014-09-18
    • US13875406
    • 2013-05-02
    • Google Inc.
    • Ciprian I. ChelbaHasim SakJohan Schalkwyk
    • G10L15/26
    • G10L15/063G10L15/197
    • Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for language modeling of complete language sequences. Training data indicating language sequences is accessed, and counts for a number of times each language sequence occurs in the training data are determined. A proper subset of the language sequences is selected, and a first component of a language model is trained. The first component includes first probability data for assigning scores to the selected language sequences. A second component of the language model is trained based on the training data, where the second component includes second probability data for assigning scores to language sequences that are not included in the selected language sequences. Adjustment data that normalizes the second probability data with respect to the first probability data is generated, and the first component, the second component, and the adjustment data are stored.
    • 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于完整语言序列的语言建模。 访问指示语言序列的训练数据,并且确定训练数据中出现每个语言序列多次的计数。 选择语言序列的适当子集,并训练语言模型的第一个组成部分。 第一组件包括用于将分数分配给所选择的语言序列的第一概率数据。 基于训练数据训练语言模型的第二组件,其中第二组件包括用于将分数分配给不包括在所选语言序列中的语言序列的第二概率数据。 生成相对于第一概率数据归一化第二概率数据的调整数据,并且存储第一分量,第二分量和调整数据。
    • 8. 发明授权
    • Natural language correction for speech input
    • 语言输入的自然语言修正
    • US09483459B1
    • 2016-11-01
    • US13799767
    • 2013-03-13
    • Google Inc.
    • Michael D RileyJohan SchalkwykCyril Georges Luc AllauzenCiprian Ioan ChelbaEdward Oscar Benson
    • G10L21/00G06F17/27
    • G06F17/273G06F17/27G06F17/277G06F17/30654G06F17/30672G10L15/18G10L15/183G10L15/19G10L15/22G10L25/48
    • A system is configured to receive a first string corresponding to an interpretation of a natural-language user voice entry; provide a representation of the first string as feedback to the natural-language user voice entry; receive, based on the feedback, a second string corresponding to a natural-language corrective user entry, where the natural-language corrective user entry may correspond to a correction to the natural-language user voice entry; parse the second string into one or more tokens; determine at least one corrective instruction from the one or more tokens of the second string; generate, from at least a portion of each of the first and second strings and based on the at least one corrective instruction, candidate corrected user entries; select a corrected user entry from the candidate corrected user entries; and output the selected, corrected user entry.
    • 系统被配置为接收对应于自然语言用户语音输入的解释的第一串; 提供第一个字符串的表示作为对自然语言用户语音输入的反馈; 基于所述反馈接收对应于自然语言校正用户条目的第二字符串,其中所述自然语言校正用户条目可对应于对所述自然语言用户语音输入的校正; 将第二个字符串解析成一个或多个令牌; 确定来自所述第二串的所述一个或多个令牌的至少一个校正指令; 从所述第一和第二串中的每一个的至少一部分中,基于所述至少一个校正指令生成候选校正用户条目; 从候选者更正的用户条目中选择一个更正的用户条目; 并输出所选择的,更正的用户条目。