会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 4. 发明授权
    • Source separation by independent component analysis in conjunction with source direction information
    • 源分离与独立成分分析结合源方向信息
    • US08880395B2
    • 2014-11-04
    • US13464828
    • 2012-05-04
    • Jaekwon YooRuxin Chen
    • Jaekwon YooRuxin Chen
    • G10L21/00
    • G10L21/0272
    • Methods and apparatus for signal processing are disclosed. Source separation can be performed to extract source signals from mixtures of source signals by way of independent component analysis. Source direction information is utilized in the separation process, and independent component analysis techniques described herein use multivariate probability density functions to preserve the alignment of frequency bins in the source separation process. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.
    • 公开了用于信号处理的方法和装置。 可以通过独立分量分析来执行源分离以从源信号的混合中提取源信号。 在分离过程中使用源方向信息,并且本文描述的独立分量分析技术使用多变量概率密度函数来保持源分离过程中频率仓的对准。 要强调的是,该摘要被提供以符合要求抽象的规则,允许搜索者或其他读者快速确定技术公开内容的主题。 提交它的理解是,它不会用于解释或限制权利要求的范围或含义。
    • 5. 发明申请
    • HYBRID PERFORMANCE SCALING OR SPEECH RECOGNITION
    • 混合性能缩放或语音识别
    • US20140237277A1
    • 2014-08-21
    • US13791716
    • 2013-03-08
    • Dominic S. MallinsonRuxin Chen
    • Dominic S. MallinsonRuxin Chen
    • G06F1/32
    • G06F1/3206G06F1/3203G06F1/3231G06F1/3293G06F3/017G10L15/22G10L25/78Y02D10/122Y02D10/173
    • Aspects of the present disclosure describe methods and apparatuses for executing operations on a client device platform that is operating in a low-power state. A first analysis may be used to assign a first confidence score to a recorded non-tactile input. When the first confidence score is above a first threshold an intermediate-power state may be activated. A second more detailed analysis may then assign a second confidence score to the non-tactile input. When the second confidence score is above a second threshold, then the operation is initiated. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.
    • 本公开的方面描述了在以低功率状态运行的客户端设备平台上执行操作的方法和装置。 可以使用第一分析来将第一置信度分数分配给记录的非触觉输入。 当第一置信度高于第一阈值时,可以激活中间功率状态。 然后,第二更详细的分析可以向非触觉输入分配第二置信度分数。 当第二置信度分数高于第二阈值时,开始该操作。 要强调的是,该摘要被提供以符合要求抽象的规则,允许搜索者或其他读者快速确定技术公开内容的主题。 提交它的理解是,它不会用于解释或限制权利要求的范围或含义。
    • 6. 发明授权
    • Speech syllable/vowel/phone boundary detection using auditory attention cues
    • 语音音节/元音/电话边界检测使用听觉注意线索
    • US08756061B2
    • 2014-06-17
    • US13078866
    • 2011-04-01
    • Ozlem KalinliRuxin Chen
    • Ozlem KalinliRuxin Chen
    • G10L15/04
    • G10L15/05G10L15/04G10L15/16G10L15/24G10L15/34G10L25/03
    • In syllable or vowel or phone boundary detection during speech, an auditory spectrum may be determined for an input window of sound and one or more multi-scale features may be extracted from the auditory spectrum. Each multi-scale feature can be extracted using a separate two-dimensional spectro-temporal receptive filter. One or more feature maps corresponding to the one or more multi-scale features can be generated and an auditory gist vector can be extracted from each of the one or more feature maps. A cumulative gist vector may be obtained through augmentation of each auditory gist vector extracted from the one or more feature maps. One or more syllable or vowel or phone boundaries in the input window of sound can be detected by mapping the cumulative gist vector to one or more syllable or vowel or phone boundary characteristics using a machine learning algorithm.
    • 在语音期间的音节或元音或电话边界检测中,可以为输入声音窗口确定听觉频谱,并且可以从听觉谱中提取一个或多个多尺度特征。 可以使用单独的二维光谱接收滤波器来提取每个多尺度特征。 可以生成与一个或多个多尺度特征相对应的一个或多个特征图,并且可以从一个或多个特征图中的每一个提取听觉要点矢量。 可以通过增加从一个或多个特征图提取的每个听觉要素矢量来获得累积的要点向量。 通过使用机器学习算法将累积的要点向量映射到一个或多个音节或元音或电话边界特征,可以检测声音的输入窗口中的一个或多个音节或元音或电话边界。
    • 10. 发明申请
    • SPEECH SYLLABLE/VOWEL/PHONE BOUNDARY DETECTION USING AUDITORY ATTENTION CUES
    • 使用审计注意事项的语音可以/ VOWEL /电话边界检测
    • US20120253812A1
    • 2012-10-04
    • US13078866
    • 2011-04-01
    • OZLEM KALINLIRuxin Chen
    • OZLEM KALINLIRuxin Chen
    • G10L15/04
    • G10L15/05G10L15/04G10L15/16G10L15/24G10L15/34G10L25/03
    • In syllable or vowel or phone boundary detection during speech, an auditory spectrum may be determined for an input window of sound and one or more multi-scale features may be extracted from the auditory spectrum. Each multi-scale feature can be extracted using a separate two-dimensional spectro-temporal receptive filter. One or more feature maps corresponding to the one or more multi-scale features can be generated and an auditory gist vector can be extracted from each of the one or more feature maps. A cumulative gist vector may be obtained through augmentation of each auditory gist vector extracted from the one or more feature maps. One or more syllable or vowel or phone boundaries in the input window of sound can be detected by mapping the cumulative gist vector to one or more syllable or vowel or phone boundary characteristics using a machine learning algorithm.
    • 在语音期间的音节或元音或电话边界检测中,可以为输入声音窗口确定听觉频谱,并且可以从听觉谱中提取一个或多个多尺度特征。 可以使用单独的二维光谱接收滤波器来提取每个多尺度特征。 可以生成与一个或多个多尺度特征相对应的一个或多个特征图,并且可以从一个或多个特征图中的每一个提取听觉要点矢量。 可以通过增加从一个或多个特征图提取的每个听觉要素矢量来获得累积的要点向量。 通过使用机器学习算法将累积的要点向量映射到一个或多个音节或元音或电话边界特征,可以检测声音的输入窗口中的一个或多个音节或元音或电话边界。