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1. 发明申请

US20090254335A1 MULTILINGUAL WEIGHTED CODEBOOKS 审中-公开
标题翻译：多重加权代码
公开(公告)号：US20090254335A1
公开(公告)日：2009-10-08
申请号：US12416768
申请日：2009-04-01
申请人： Raymond Brückner , Martin Raab , Rainer Gruhn
发明人： Raymond Brückner , Martin Raab , Rainer Gruhn
IPC分类号： G06F17/20 , G10L15/00
CPC分类号： G10L15/065 , G10L15/005 , G10L2019/0007
摘要： Examples of methods are provided for generating a multilingual codebook. According to an example method, a main language codebook and at least one additional codebook corresponding to a language different from the main language are provided. A multilingual codebook is generated from the main language codebook and the at least one additional codebook by adding a sub-set of code vectors of the at least one additional codebook to the main codebook based on distances between the code vectors of the at least one additional codebook to code vectors of the main language codebook. Systems and methods for speech recognition using the multilingual codebook and applications that use speech recognition based on the multilingual codebook are also provided.
摘要翻译：提供了用于生成多语言码本的方法的示例。根据示例方法，提供了与语言不同的主语言码本和对应于主语言的语言的至少一个附加码本。基于所述至少一个附加码本的代码矢量之间的距离，将所述至少一个附加码本的代码矢量的子集合添加到所述主码本，从所述主语言码本和所述至少一个附加码本生成多语言码本码本编码主要语言码本的矢量。还提供了使用多语言码本进行语音识别的系统和方法以及使用基于多语种码本的语音识别的应用程序。

2. 发明授权

US08199928B2 System for processing an acoustic input signal to provide an output signal with reduced noise 有权
标题翻译：用于处理声输入信号以提供具有降低的噪声的输出信号的系统
公开(公告)号：US08199928B2
公开(公告)日：2012-06-12
申请号：US12118205
申请日：2008-05-09
申请人： Gerhard Uwe Schmidt , Raymond Brückner , Markus Buck , Ange Tchinda-Pockem , Mohamed Krini
发明人： Gerhard Uwe Schmidt , Raymond Brückner , Markus Buck , Ange Tchinda-Pockem , Mohamed Krini
IPC分类号： H04B15/00
CPC分类号： G10L21/0208 , G10L21/0232 , G10L2021/02168
摘要： An apparatus processes an acoustic input signal to provide an output signal with reduced noise. The apparatus weights the input signal based on a frequency-dependent weighting function. A frequency-dependent threshold function bounds the weighting function from below.
摘要翻译：一种装置处理声输入信号以提供具有降低的噪声的输出信号。该装置基于频率依赖加权函数对输入信号进行加权。频率相关阈值函数从下面界定加权函数。

3. 发明授权

US06961702B2 Method and device for generating an adapted reference for automatic speech recognition 有权
标题翻译：用于生成用于自动语音识别的适配参考的方法和装置
公开(公告)号：US06961702B2
公开(公告)日：2005-11-01
申请号：US09985844
申请日：2001-11-06
申请人： Stefan Dobler , Andreas Kiessling , Ralph Schleifer , Raymond Brückner
发明人： Stefan Dobler , Andreas Kiessling , Ralph Schleifer , Raymond Brückner
IPC分类号： G10L15/06 , G10L15/07 , G10L15/22 , G10L15/10 , G10L15/12
CPC分类号： G10L15/07 , G10L2015/0631 , G10L2015/0635 , G10L2015/0636
摘要： The invention relates to a method for generating an adapted reference for automatic speech recognition. In a first step, recognition is performed based on a spoken utterance and a recognition result which corresponds to a currently valid reference is obtained. In a second step, the currently valid reference is adapted in accordance with the utterance in order to create an adapted reference. In a third step, the adapted reference is assessed and it is decided if the adapted reference is used for further recognition.
摘要翻译：本发明涉及一种用于生成用于自动语音识别的适配参考的方法。在第一步骤中，基于语音发音执行识别，并获得对应于当前有效参考的识别结果。在第二步中，为了创建适应的参考，当前有效的参考根据话语进行调整。在第三步中，评估适应参考，并且确定是否使用适配参考用于进一步识别。

4. 发明授权

US06678657B1 Method and apparatus for a robust feature extraction for speech recognition 有权
标题翻译：用于语音识别的鲁棒特征提取的方法和装置
公开(公告)号：US06678657B1
公开(公告)日：2004-01-13
申请号：US09694617
申请日：2000-10-23
申请人： Raymond Brückner , Hans-Günter Hirsch , Rainer Klisch , Volker Springer
发明人： Raymond Brückner , Hans-Günter Hirsch , Rainer Klisch , Volker Springer
IPC分类号： G10L1502
CPC分类号： G10L15/20 , G10L15/02 , G10L21/0208
摘要： The present invention relates to a method and an apparatus for a robust feature extraction for speech recognition in a noisy environment, wherein the speech signal is segmented and is characterized by spectral components. The speech signal is splitted into a number of short term spectral components in L subbands, with L=1, 2, . . . and a noise spectrum from segments that only contain noise is estimated. Then a spectral subtraction of the estimated noise spectrum from the corresponding short term spectrum is performed and a probability for each short term spectrum component to contain noise is calculated. Finally these spectral component of each short-term spectrum, having a low probability to contain speech are interpolated in order to smooth those short-term, spectra that only contain noise. With the interpolation the spectral components containing noise are interpolated by reliable spectral speech components that could be found in the neighborhood.
摘要翻译：本发明涉及一种用于在噪声环境中进行语音识别的鲁棒特征提取的方法和装置，其中语音信号被分段并且由频谱分量表征。语音信号分为L个子带中的多个短期频谱分量，其中L = 1,2。。。并且估计仅包含噪声的段的噪声频谱。然后，对相应的短期频谱进行估计噪声频谱的频谱减法，并计算每个短期频谱分量包含噪声的概率。最后，对包含语音的低概率的每个短期频谱的这些频谱分量进行插值，以平滑那些仅包含噪声的短期谱图。通过插值，包含噪声的频谱成分被可靠的光谱语音分量内插，该分量可以在邻域中找到。

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