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    • 5. 发明申请
    • Method for Adapting a Codebook for Speech Recognition
    • 适应语音识别码本的方法
    • US20100138222A1
    • 2010-06-03
    • US12622717
    • 2009-11-20
    • Tobias HerbigFranz Gerl
    • Tobias HerbigFranz Gerl
    • G10L15/06
    • G10L15/065
    • A method for adapting a codebook for speech recognition, wherein the codebook is from a set of codebooks comprising a speaker-independent codebook and at least one speaker-dependent codebook is disclosed. A speech input is received and a feature vector based on the received speech input is determined. For each of the Gaussian densities, a first mean vector is estimated using an expectation process and taking into account the determined feature vector. For each of the Gaussian densities, a second mean vector using an Eigenvoice adaptation is determined taking into account the determined feature vector. For each of the Gaussian densities, the mean vector is set to a convex combination of the first and the second mean vector. Thus, this process allows for adaptation during operation and does not require a lengthy training phase.
    • 一种用于适应用于语音识别的码本的方法,其中所述码本来自包括与扬声器无关的码本和至少一个与扬声器相关的码本的码本集合。 接收到语音输入,并且确定基于所接收的语音输入的特征向量。 对于每个高斯密度,使用期望过程并且考虑确定的特征向量来估计第一平均向量。 对于每个高斯密度,使用特征语音适配的第二平均向量被确定,其考虑所确定的特征向量。 对于每个高斯密度,将平均矢量设置为第一和第二平均矢量的凸组合。 因此,该过程允许在操作期间的适应并且不需要冗长的训练阶段。
    • 6. 发明授权
    • Method for determining the presence of a wanted signal component
    • 用于确定有用信号分量的存在的方法
    • US09530432B2
    • 2016-12-27
    • US12507444
    • 2009-07-22
    • Tobias HerbigFranz Gerl
    • Tobias HerbigFranz Gerl
    • G10L25/78G10L15/22
    • G10L25/78G10L15/222G10L2015/223
    • This invention provides a method for determining, in a speech dialog system issuing speech prompts, a score value as an indicator for the presence of a wanted signal component in an input signal stemming from a microphone, comprising the steps of: using a first likelihood function to determine a first likelihood value for the presence of the wanted signal component in the input signal, using a second likelihood function to determine a second likelihood value for the presence of a noise signal component in the input signal, and determining a score value based on the first and the second likelihood values, wherein the first likelihood function is based on a predetermined reference wanted signal, and the second likelihood function is based on a predetermined reference noise signal.
    • 本发明提供了一种在发出语音提示的语音对话系统中确定得分值作为来自麦克风的输入信号中有用信号分量的存在的指标的方法,包括以下步骤:使用第一似然函数 使用第二似然函数来确定用于在输入信号中存在噪声信号分量的第二似然值,并且基于该输入信号确定分数值来确定用于输入信号中有用信号分量的存在的第一似然值 第一似然值和第二似然值,其中第一似然函数基于预定的参考有用信号,第二似然函数基于预定的参考噪声信号。
    • 7. 发明授权
    • Method for adapting a codebook for speech recognition
    • 适用于语音识别的码本的方法
    • US08346551B2
    • 2013-01-01
    • US12622717
    • 2009-11-20
    • Tobias HerbigFranz Gerl
    • Tobias HerbigFranz Gerl
    • G10L15/06
    • G10L15/065
    • A method for adapting a codebook for speech recognition, wherein the codebook is from a set of codebooks comprising a speaker-independent codebook and at least one speaker dependent codebook. A speech input is received and a feature vector based on the received speech input is determined. For each of the Gaussian densities, a first mean vector is estimated using an expectation process and taking into account the determined feature vector. For each of the Gaussian densities, a second mean vector using an Eigenvoice adaptation is determined taking into account the determined feature vector. For each of the Gaussian densities, the mean vector is set to a convex combination of the first and the second mean vector. Thus, this process allows for adaptation during operation and does not require a lengthy training phase.
    • 一种用于调整用于语音识别的码本的方法,其中码本来自包括与扬声器无关的码本和至少一个扬声器相关码本的一组码本。 接收到语音输入,并且确定基于所接收的语音输入的特征向量。 对于每个高斯密度,使用期望过程并且考虑确定的特征向量来估计第一平均向量。 对于每个高斯密度,使用特征语音适配的第二平均向量被确定,其考虑所确定的特征向量。 对于每个高斯密度,将平均矢量设置为第一和第二平均矢量的凸组合。 因此,该过程允许在操作期间的适应并且不需要冗长的训练阶段。
    • 8. 发明申请
    • Method for Determining the Presence of a Wanted Signal Component
    • 确定需要信号分量的方法
    • US20100030558A1
    • 2010-02-04
    • US12507444
    • 2009-07-22
    • Tobias HerbigFranz Gerl
    • Tobias HerbigFranz Gerl
    • G10L11/00
    • G10L25/78G10L15/222G10L2015/223
    • This invention provides a method for determining, in a speech dialogue system issuing speech prompts, a score value as an indicator for the presence of a wanted signal component in an input signal stemming from a microphone, comprising the steps of: using a first likelihood function to determine a first likelihood value for the presence of the wanted signal component in the input signal, using a second likelihood function to determine a second likelihood value for the presence of a noise signal component in the input signal, and determining a score value based on the first and the second likelihood values, wherein the first likelihood function is based on a predetermined reference wanted signal, and the second likelihood function is based on a predetermined reference noise signal.
    • 本发明提供了一种在发出语音提示的语音对话系统中确定得分值作为来自麦克风的输入信号中有用信号分量的存在的指标的方法,包括以下步骤:使用第一似然函数 使用第二似然函数来确定用于在输入信号中存在噪声信号分量的第二似然值,并且基于该输入信号确定分数值来确定用于输入信号中有用信号分量的存在的第一似然值 第一似然值和第二似然值,其中第一似然函数基于预定的参考有用信号,第二似然函数基于预定的参考噪声信号。