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    • 3. 发明授权
    • Voice activity detector, voice activity detection program, and parameter adjusting method
    • 语音活动检测器,语音活动检测程序和参数调整方法
    • US08812313B2
    • 2014-08-19
    • US13140364
    • 2009-12-07
    • Takayuki ArakawaMasanori Tsujikawa
    • Takayuki ArakawaMasanori Tsujikawa
    • G10L21/00
    • G10L25/78G10L2021/02082
    • Judgment result deriving means 74 makes a judgment between active voice and non-active voice every unit time for a time series of voice data in which the number of active voice segments and the number of non-active voice segments are already known as a number of the labeled active voice segment and a number of the labeled non-active voice segment and shapes active voice segments and non-active voice segments as the result of the judgment by comparing the length of each segment during which the voice data is consecutively judged to correspond to active voice by the judgment or the length of each segment during which the voice data is consecutively judged to correspond to non-active voice by the judgment with a duration threshold. Segments number calculating means 75 calculates the number of active voice segments and the number of non-active voice segments. Duration threshold updating means 76 updates the duration threshold so that the difference between the calculated number of active voice segments and the number of the labeled active voice segments decreases or the difference between the calculated number of non-active voice segments and the number of the labeled non-active voice segments decreases.
    • 判断结果导出装置74对于其中活动语音段的数量和非有效语音段的数量已经被称为数量的语音数据的时间序列,每单位时间对活动语音和非活动语音之间进行判断 标记的活动语音段和多个标记的非活动语音段,并且通过比较连续判断语音数据对应的每个段的长度来作为判断结果来形成活动语音段和非活动语音段 通过判断或通过具有持续时间阈值的判断连续判断语音数据与非活动语音相对应的每个段的长度来激活主动语音。 段数计算装置75计算活动语音段的数量和非有效语音段的数量。 持续时间阈值更新装置76更新持续时间阈值,使得计算的活动语音段数与标记的活动语音段的数量之间的差减小或计算出的非活动语音段数与差标 非主动语音段减少。
    • 4. 发明申请
    • SYSTEM, METHOD AND PROGRAM FOR VOICE DETECTION
    • 用于语音检测的系统,方法和程序
    • US20100268532A1
    • 2010-10-21
    • US12744671
    • 2008-11-26
    • Takayuki ArakawaMasanori Tsujikawa
    • Takayuki ArakawaMasanori Tsujikawa
    • G10L11/06
    • G10L25/93
    • A system for voice detection includes a feature value calculation unit that calculates a feature value from an input signal sliced on a per frame basis, a provisional voice/non-voice decision unit that provisionally decides a voiced interval and a non-voiced interval from the feature value calculated on a per frame basis, and a voice/non-voice decision unit that determines a voiced interval duration threshold value or a non-voiced interval duration threshold value, using a ratio of the feature value found on a per frame basis to a threshold value for the feature value and that re-decides the voiced interval and the non-voiced interval, using the voiced interval duration threshold value determined and the non-voiced interval duration threshold value determined. By determining the voiced interval duration threshold value and the non-voiced interval duration threshold value, using the feature value found on a per frame basis and the threshold value for the feature value, the constraint of the shaping rule may be made weaker, or stronger in case the feature value found on a per frame basis can be regarded as being reliable or not, thereby allowing voice detection to be made without dependency upon a noise environment.
    • 一种用于语音检测的系统包括:特征值计算单元,其基于以每帧为基准的输入信号计算特征值;临时语音/非语音判定单元,其从所述临时语音/非语音判定单元临时确定有声间隔和非语音间隔, 基于每帧计算的特征值;以及语音/非语音决定单元,其使用在每帧基础上找到的特征值的比率来确定有声间隔持续时间阈值或非有声间隔持续时间阈值 使用确定的有声间隔持续时间阈值和确定的非有声间隔持续时间阈值来重新确定特征值的阈值并重新确定有声间隔和非语音间隔。 通过使用基于每帧的特征值和特征值的阈值来确定浊音间隔持续时间阈值和非有声间隔持续时间阈值,可以使成形规则的约束变弱或更强 在每帧基础上发现的特征值可以被认为是可靠的情况下,从而允许在不依赖于噪声环境的情况下进行语音检测。
    • 5. 发明申请
    • VOICE ACTIVITY DETECTOR, VOICE ACTIVITY DETECTION PROGRAM, AND PARAMETER ADJUSTING METHOD
    • 语音活动检测器,语音活动检测程序和参数调整方法
    • US20110251845A1
    • 2011-10-13
    • US13140364
    • 2009-12-07
    • Takayuki ArakawaMasanori Tsujikawa
    • Takayuki ArakawaMasanori Tsujikawa
    • G10L21/00
    • G10L25/78G10L2021/02082
    • Judgment result deriving means 74 makes a judgment between active voice and non-active voice every unit time for a time series of voice data in which the number of active voice segments and the number of non-active voice segments are already known as a number of the labeled active voice segment and a number of the labeled non-active voice segment and shapes active voice segments and non-active voice segments as the result of the judgment by comparing the length of each segment during which the voice data is consecutively judged to correspond to active voice by the judgment or the length of each segment during which the voice data is consecutively judged to correspond to non-active voice by the judgment with a duration threshold. Segments number calculating means 75 calculates the number of active voice segments and the number of non-active voice segments. Duration threshold updating means 76 updates the duration threshold so that the difference between the calculated number of active voice segments and the number of the labeled active voice segments decreases or the difference between the calculated number of non-active voice segments and the number of the labeled non-active voice segments decreases.
    • 判断结果导出装置74对于其中活动语音段的数量和非有效语音段的数量已经被称为数量的语音数据的时间序列,每单位时间对活动语音和非活动语音之间进行判断 标记的活动语音段和多个标记的非活动语音段,并且通过比较连续判断语音数据对应的每个段的长度来作为判断结果来形成活动语音段和非活动语音段 通过判断或通过具有持续时间阈值的判断连续判断语音数据与非活动语音相对应的每个段的长度来激活主动语音。 段数计算装置75计算活动语音段的数量和非有效语音段的数量。 持续时间阈值更新装置76更新持续时间阈值,使得计算的活动语音段数与标记的活动语音段的数量之间的差减小或计算出的非活动语音段数与差标 非主动语音段减少。
    • 6. 发明申请
    • VOICE ACTIVITY DETECTOR, VOICE ACTIVITY DETECTION PROGRAM, AND PARAMETER ADJUSTING METHOD
    • 语音活动检测器,语音活动检测程序和参数调整方法
    • US20110246185A1
    • 2011-10-06
    • US13139909
    • 2009-12-07
    • Takayuki ArakawaMasanori Tsujikawa
    • Takayuki ArakawaMasanori Tsujikawa
    • G10L11/02
    • G10L25/78
    • A frame extracting means 71 extracts frames from sample data as voice data in which whether each frame is an active voice frame or a non-active voice frame is already known. A feature quantity calculating means 72 calculates multiple feature quantities of each of the frames. A feature quantity integrating means 73 calculates an integrated feature quantity of the multiple feature quantities. A judgment means 74 judges whether each of the frames is an active voice frame or a non-active voice frame. An erroneous feature quantity calculation value calculating means 75 obtains a first erroneous feature quantity calculation value and a second erroneous feature quantity calculation value by executing prescribed calculations. A weight updating means 76 updates weights used for weighting so that the rate between the first erroneous feature quantity calculation value and the second erroneous feature quantity calculation value approaches a prescribed value.
    • 帧提取装置71从样本数据中提取帧,作为每个帧是活动语音帧还是非活动语音帧的语音数据是已知的。 特征量计算装置72计算每个帧的多个特征量。 特征量积分装置73计算多个特征量的积分特征量。 判断装置74判断每个帧是活动语音帧还是非活动语音帧。 错误特征量计算值计算装置75通过执行规定的计算来获得第一错误特征量计算值和第二错误特征量计算值。 权重更新装置76更新用于加权的权重,使得第一错误特征量计算值和第二错误特征量计算值之间的速率接近规定值。
    • 10. 发明授权
    • Voice activity detector, voice activity detection program, and parameter adjusting method
    • 语音活动检测器,语音活动检测程序和参数调整方法
    • US08938389B2
    • 2015-01-20
    • US13139909
    • 2009-12-07
    • Takayuki ArakawaMasanori Tsujikawa
    • Takayuki ArakawaMasanori Tsujikawa
    • G10L15/20G10L25/93G10L25/78
    • G10L25/78
    • A frame extracting means 71 extracts frames from sample data as voice data in which whether each frame is an active voice frame or a non-active voice frame is already known. A feature quantity calculating means 72 calculates multiple feature quantities of each of the frames. A feature quantity integrating means 73 calculates an integrated feature quantity of the multiple feature quantities. A judgment means 74 judges whether each of the frames is an active voice frame or a non-active voice frame. An erroneous feature quantity calculation value calculating means 75 obtains a first erroneous feature quantity calculation value and a second erroneous feature quantity calculation value by executing prescribed calculations. A weight updating means 76 updates weights used for weighting so that the rate between the first erroneous feature quantity calculation value and the second erroneous feature quantity calculation value approaches a prescribed value.
    • 帧提取装置71从样本数据中提取帧,作为每个帧是活动语音帧还是非活动语音帧的语音数据是已知的。 特征量计算装置72计算每个帧的多个特征量。 特征量积分装置73计算多个特征量的积分特征量。 判断装置74判断每个帧是活动语音帧还是非活动语音帧。 错误特征量计算值计算装置75通过执行规定的计算来获得第一错误特征量计算值和第二错误特征量计算值。 权重更新装置76更新用于加权的权重,使得第一错误特征量计算值和第二错误特征量计算值之间的速率接近规定值。