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    • 11. 发明申请
    • COMPUTING DEVICE WITH REMOTE CONTACT LISTS
    • 具有远程联系人列表的计算设备
    • US20120020254A1
    • 2012-01-26
    • US13249623
    • 2011-09-30
    • Brian StropeFrancoise BeaufaysHy Murveit
    • Brian StropeFrancoise BeaufaysHy Murveit
    • H04L12/08H04M1/658H04L12/16
    • H04L61/106H04L12/66H04L51/28H04L51/32H04L51/36H04M1/7255H04M3/42102H04W4/16H04W8/183
    • In one implementation a computer-implemented method includes generating a group of telephone contacts for a first user, wherein the generating includes identifying a second user as a contact of the first user based upon a determination that the second user has at least a threshold email-based association with the first user; and adding the identified second user to the group of telephone contacts for the first user. The method further includes receiving a first request to connect a first telephone device associated with the first user to a second telephone device associated with the second user. The method also includes identifying a contact identifier of the second telephone device using the generated group of telephone contacts for the first user, and initiating a connection between the first telephone device and the second telephone device using the identified contact identifier.
    • 在一个实现中,计算机实现的方法包括为第一用户生成一组电话联系人,其中生成包括基于第二用户至少具有阈值电子邮件地址的确定来将第二用户识别为第一用户的联系人, 与第一个用户的关联; 以及将所识别的第二用户添加到第一用户的电话联系人组。 该方法还包括接收将与第一用户相关联的第一电话设备连接到与第二用户相关联的第二电话设备的第一请求。 该方法还包括使用生成的第一用户的电话联系人识别第二电话设备的联系人标识符,以及使用所识别的联系人标识符来启动第一电话设备和第二电话设备之间的连接。
    • 13. 发明申请
    • SPEECH RECOGNITION WITH PARALLEL RECOGNITION TASKS
    • 具有并发识别任务的语音识别
    • US20130138440A1
    • 2013-05-30
    • US13750807
    • 2013-01-25
    • Brian StropeFrancoise BeaufaysOlivier Siohan
    • Brian StropeFrancoise BeaufaysOlivier Siohan
    • G10L15/00
    • G10L15/32G10L15/00G10L15/01G10L15/26
    • The subject matter of this specification can be embodied in, among other things, a method that includes receiving an audio signal and initiating speech recognition tasks by a plurality of speech recognition systems (SRS's). Each SRS is configured to generate a recognition result specifying possible speech included in the audio signal and a confidence value indicating a confidence in a correctness of the speech result. The method also includes completing a portion of the speech recognition tasks including generating one or more recognition results and one or more confidence values for the one or more recognition results, determining whether the one or more confidence values meets a confidence threshold, aborting a remaining portion of the speech recognition tasks for SRS's that have not generated a recognition result, and outputting a final recognition result based on at least one of the generated one or more speech results.
    • 除了别的以外,本说明书的主题可以体现在包括通过多个语音识别系统(SRS)接收音频信号和发起语音识别任务的方法。 每个SRS被配置为产生指定包括在音频信号中的可能语音的识别结果,以及指示对语音结果的正确性置信度的置信度值。 该方法还包括完成语音识别任务的一部分,包括生成一个或多个识别结果和一个或多个识别结果的一个或多个置信度值,确定一个或多个置信度值是否满足置信阈值,中止其余部分 的没有产生识别结果的SRS的语音识别任务,并且基于所生成的一个或多个语音结果中的至少一个来输出最终识别结果。
    • 14. 发明授权
    • Computing device with remote contact lists
    • 具有远程联系人列表的计算设备
    • US08238531B2
    • 2012-08-07
    • US13249623
    • 2011-09-30
    • Brian StropeFrancoise BeaufaysHy Murveit
    • Brian StropeFrancoise BeaufaysHy Murveit
    • H04M11/00H04L12/16G06F7/00
    • H04L61/106H04L12/66H04L51/28H04L51/32H04L51/36H04M1/7255H04M3/42102H04W4/16H04W8/183
    • In one implementation a computer-implemented method includes generating a group of telephone contacts for a first user, wherein the generating includes identifying a second user as a contact of the first user based upon a determination that the second user has at least a threshold email-based association with the first user; and adding the identified second user to the group of telephone contacts for the first user. The method further includes receiving a first request to connect a first telephone device associated with the first user to a second telephone device associated with the second user. The method also includes identifying a contact identifier of the second telephone device using the generated group of telephone contacts for the first user, and initiating a connection between the first telephone device and the second telephone device using the identified contact identifier.
    • 在一个实现中,计算机实现的方法包括为第一用户生成一组电话联系人,其中生成包括基于第二用户至少具有阈值电子邮件地址的确定来将第二用户识别为第一用户的联系人, 与第一个用户的关联; 以及将所识别的第二用户添加到第一用户的电话联系人组。 该方法还包括接收将与第一用户相关联的第一电话设备连接到与第二用户相关联的第二电话设备的第一请求。 该方法还包括使用生成的第一用户的电话联系人识别第二电话设备的联系人标识符,以及使用所识别的联系人标识符来启动第一电话设备和第二电话设备之间的连接。
    • 15. 发明申请
    • Computing Device With Remote Contact Lists
    • 计算设备与远程联系人列表
    • US20110235790A1
    • 2011-09-29
    • US12732923
    • 2010-03-26
    • Brian StropeFrancoise BeaufaysHy Murveit
    • Brian StropeFrancoise BeaufaysHy Murveit
    • H04M11/00G06F15/16
    • H04L61/106H04L12/66H04L51/28H04L51/32H04L51/36H04M1/7255H04M3/42102H04W4/16H04W8/183
    • In one implementation a computer-implemented method includes generating a group of telephone contacts for a first user, wherein the generating includes identifying a second user as a contact of the first user based upon a determination that the second user has at least a threshold email-based association with the first user; and adding the identified second user to the group of telephone contacts for the first user. The method further includes receiving a first request to connect a first telephone device associated with the first user to a second telephone device associated with the second user. The method also includes identifying a contact identifier of the second telephone device using the generated group of telephone contacts for the first user, and initiating a connection between the first telephone device and the second telephone device using the identified contact identifier.
    • 在一个实现中,计算机实现的方法包括为第一用户生成一组电话联系人,其中生成包括基于第二用户至少具有阈值电子邮件地址的确定来将第二用户识别为第一用户的联系人, 与第一个用户的关联; 以及将所识别的第二用户添加到第一用户的电话联系人组。 该方法还包括接收将与第一用户相关联的第一电话设备连接到与第二用户相关联的第二电话设备的第一请求。 该方法还包括使用生成的第一用户的电话联系人识别第二电话设备的联系人标识符,以及使用所识别的联系人标识符来启动第一电话设备和第二电话设备之间的连接。
    • 19. 发明授权
    • Signal noise reduction using magnitude-domain spectral subtraction
    • 信号降噪使用幅度谱谱减法
    • US06804640B1
    • 2004-10-12
    • US09515252
    • 2000-02-29
    • Mitchel WeintraubFrancoise Beaufays
    • Mitchel WeintraubFrancoise Beaufays
    • G10L1520
    • G10L21/0208G10L15/20G10L19/0204G10L21/0216H04L1/20
    • A method and apparatus for generating a noise-reduced feature vector representing human speech are provided. Speech data representing an input speech waveform are first input and filtered. Spectral energies of the filtered speech data are determined, and a noise reduction process is then performed. In the noise reduction process, a spectral magnitude is computed for a frequency index of multiple frequency indexes. A noise magnitude estimate is then determined for the frequency index by updating a histogram of spectral magnitude, and then determining the noise magnitude estimate as a predetermined percentile of the histogram. A signal-to-noise ratio is then determined for the frequency index. A scale factor is computed for the frequency index, as a function of the signal-to-noise ratio and the noise magnitude estimate. The noise magnitude estimate is then scaled by the scale factor. The scaled noise magnitude estimate is subtracted from the spectral magnitudes of the filtered speech data, to produce cleaned speech data, based on which a feature vector is generated.
    • 提供了一种用于生成表示人类语音的降噪特征向量的方法和装置。 首先输入和过滤表示输入语音波形的语音数据。 确定滤波后的语音数据的频谱能量,然后进行降噪处理。 在降噪过程中,针对多个频率指标的频率指数计算频谱幅度。 然后通过更新频谱幅度的直方图来确定频率索引的噪声幅度估计,然后将噪声幅度估计确定为直方图的预定百分位数。 然后确定频率指数的信噪比。 作为信噪比和噪声幅度估计的函数,针对频率指数计算比例因子。 然后通过比例因子缩放噪声幅度估计。 从经滤波的语音数据的频谱幅度中减去缩放的噪声幅度估计,以产生清除的语音数据,基于此产生特征向量。
    • 20. 发明授权
    • Method and system for learning linguistically valid word pronunciations from acoustic data
    • 从声学数据学习语言有效的单词发音的方法和系统
    • US07266495B1
    • 2007-09-04
    • US10661106
    • 2003-09-12
    • Francoise BeaufaysAnanth SankarMitchel WeintraubShaun Williams
    • Francoise BeaufaysAnanth SankarMitchel WeintraubShaun Williams
    • G10L15/06G10L15/10
    • G10L15/06G10L15/187
    • A computerized pronunciation system is provided for generating pronunciations for words and storing the pronunciations in a pronunciation dictionary. The system includes a word list including at least one word; transcribed acoustic data including at least one waveform for the word and transcribed text associated with the waveform; a pronunciation-learning module configured to accept as input the word list and the transcribed acoustic data, the pronunciation-learning module including: sets of initial pronunciations of the word, a scoring module configured score pronunciations and to generate phone probabilities, and a set of alternate pronunciations of the word, wherein the set of alternate pronunciations include a highest-scoring set of initial pronunciations with a highest-scoring substitute phone substituted for a lowest-probability phone; and a pronunciation dictionary configured to receive the highest-scoring set of initial pronunciations and the set of alternate pronunciations.
    • 提供了一种计算机化的发音系统,用于产生词的发音并将发音存储在发音词典中。 该系统包括包括至少一个单词的单词列表; 转录声学数据,包括用于该词的至少一个波形和与波形相关联的转录文本; 发音学习模块,被配置为接受单词列表和转录声学数据的输入,所述发音学习模块包括:该单词的初始发音集,评分模块配置得分发音并产生电话概率,以及一组 该单词的替代发音,其中该组交替发音包括最高得分的初始发音集合,其中替代最低概率电话的最高评分替代电话; 和发音词典,其配置为接收最高分的初始发音和一组交替发音。