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1. 发明授权

US08112272B2 Sound source separation device, speech recognition device, mobile telephone, sound source separation method, and program 有权
标题翻译：声源分离装置，语音识别装置，移动电话，声源分离方法和程序
公开(公告)号：US08112272B2
公开(公告)日：2012-02-07
申请号：US11990200
申请日：2006-08-11
申请人： Katsumasa Nagahama , Shinya Matsui
发明人： Katsumasa Nagahama , Shinya Matsui
IPC分类号： H04H40/63 , G10L21/02
CPC分类号： G10L15/20 , G10L21/0272 , G10L2021/02166 , H04R1/406 , H04R2430/20 , H04R2499/11 , H04R2499/13
摘要： A sound source signal from a target sound source is allowed to be separated from a mixed sound which consists of sound source signals emitted from a plurality of sound sources without being affected by uneven sensitivity of microphone elements. A beamformer section 3 of a source separation device 1 performs beamforming processing for attenuating sound source signals arriving from directions symmetrical with respect to a perpendicular line to a straight line connecting two microphones 10 and 11 respectively by multiplying output signals from the microphones 10 and 11 after spectrum analysis by weighted coefficients which are complex conjugate to each other. Power computation sections 40 and 41 compute power spectrum information, and target sound spectrum extraction sections 50 and 51 extract spectrum information of a target sound source based on a difference between the power spectrum information.
摘要翻译：允许来自目标声源的声源信号与由多个声源发出的声源信号组成的混合声音分离，而不受麦克风元件的不均匀灵敏度的影响。源分离装置1的波束成形器部分3执行波束成形处理，用于衰减从相对于垂直线对称的方向到达的声源信号到连接两个麦克风10和11的直线，分别通过将来自麦克风10和11的输出信号相乘通过相互复合共轭的加权系数进行频谱分析。功率计算部分40和41计算功率谱信息，目标声谱提取部分50和51基于功率谱信息之间的差异提取目标声源的频谱信息。

2. 发明申请

US20130142343A1 SOUND SOURCE SEPARATION DEVICE, SOUND SOURCE SEPARATION METHOD AND PROGRAM 审中-公开
标题翻译：声源分离装置，声源分离方法和程序
公开(公告)号：US20130142343A1
公开(公告)日：2013-06-06
申请号：US13699421
申请日：2011-08-25
申请人： Shinya Matsui , Yoji Ishikawa , Katsumasa Nagahama
发明人： Shinya Matsui , Yoji Ishikawa , Katsumasa Nagahama
IPC分类号： G10K11/178 , H04R29/00 , H04R3/00
CPC分类号： G10K11/178 , G10L21/0232 , G10L21/028 , G10L2021/02166 , H04R3/00 , H04R3/005 , H04R29/005 , H04R2430/20 , H04R2499/13
摘要： With conventional source separator devices, specific frequency bands are significantly reduced in environments where dispersed static is present that does not come from a particular direction, and as a result, the dispersed static may be filtered irregularly without regard to sound source separation results, giving rise to musical noise. In an embodiment of the present invention, by computing weighting coefficients which are in a complex conjugate relation, for post-spectrum analysis output signals from microphones (10, 11), a beam former unit (3) of a sound source separator device (1) thus carries out a beam former process for attenuating each sound source signal that comes from a region wherein the general direction of a target sound source is included and a region opposite to said region, in a plane that intersects a line segment that joins the two microphones (10, 11). A weighting coefficient computation unit (50) computes a weighting coefficient on the basis of the difference between power spectrum information calculated by power calculation units (40, 41).
摘要翻译：对于常规的源分离器装置，在不存在来自特定方向的分散静电的环境中，特定的频带显着降低，结果，分散的静电可以不规则地被滤波，而不考虑声源分离结果音乐噪音在本发明的一个实施例中，通过计算处于复共轭关系的加权系数，对于来自麦克风（10,11）的后频谱分析输出信号，声源分离器装置（1）的波束形成单元（3））因此执行波束形成处理，用于衰减来自其中包括目标声源的大致方向的区域和与所述区域相反的区域的每个声源信号，在与连接两个的线段相交的平面中麦克风（10,11）。加权系数计算单元（50）基于由功率计算单元（40,41）计算的功率谱信息之差来计算加权系数。

3. 发明申请

US20090055170A1 Sound Source Separation Device, Speech Recognition Device, Mobile Telephone, Sound Source Separation Method, and Program 有权
标题翻译：声源分离装置，语音识别装置，移动电话，声源分离方法和程序
公开(公告)号：US20090055170A1
公开(公告)日：2009-02-26
申请号：US11990200
申请日：2006-08-11
申请人： Katsumasa Nagahama
发明人： Katsumasa Nagahama
IPC分类号： G10L21/02 , G10L15/20 , H04R3/00
CPC分类号： G10L15/20 , G10L21/0272 , G10L2021/02166 , H04R1/406 , H04R2430/20 , H04R2499/11 , H04R2499/13
摘要： A sound source signal from a target sound source is allowed to be separated from a mixed sound which consists of sound source signals emitted from a plurality of sound sources without being affected by uneven sensitivity of microphone elements. A beamformer section 3 of a source separation device 1 performs beamforming processing for attenuating sound source signals arriving from directions symmetrical with respect to a perpendicular line to a straight line connecting two microphones 10 and 11 respectively by multiplying output signals from the microphones 10 and 11 after spectrum analysis by weighted coefficients which are complex conjugate to each other. Power computation sections 40 and 41 compute power spectrum information, and target sound spectrum extraction sections 50 and 51 extract spectrum information of a target sound source based on a difference between the power spectrum information.
摘要翻译：允许来自目标声源的声源信号与由多个声源发出的声源信号组成的混合声音分离，而不受麦克风元件的不均匀灵敏度的影响。源分离装置1的波束成形器部分3执行波束成形处理，用于衰减从相对于垂直线对称的方向到达的声源信号到连接两个麦克风10和11的直线，分别通过将来自麦克风10和11的输出信号相乘通过相互复合共轭的加权系数进行频谱分析。功率计算部分40和41计算功率谱信息，目标声谱提取部分50和51基于功率谱信息之间的差异提取目标声源的频谱信息。

4. 发明申请

US20050043948A1 Speech recognition method remote controller, information terminal, telephone communication terminal and speech recognizer 审中-公开
标题翻译：语音识别方法遥控器，信息终端，电话通信终端和语音识别器
公开(公告)号：US20050043948A1
公开(公告)日：2005-02-24
申请号：US10499220
申请日：2002-12-17
申请人： Seiichi Kashihara , Hideyuki Yamagishi , Katsumasa Nagahama , Tadasu Oishi
发明人： Seiichi Kashihara , Hideyuki Yamagishi , Katsumasa Nagahama , Tadasu Oishi
IPC分类号： G10L15/14 , G10L15/00
CPC分类号： G10L15/142
摘要： A speech recognition method can be preferably applied to equipment for constantly performing speech recognition, converts speech into an acoustic parameter series, calculates for the acoustic parameter series the likelihood of a hidden Markov model 22 corresponding to the speech unit label series about a registered word and the likelihood of a virtual model 23 corresponding to the speech unit label series for recognition of speech other than the registered word, and performs speech recognition based on the likelihoods.
摘要翻译：语音识别方法可以优选地应用于用于不断执行语音识别的设备，将语音转换成声学参数序列，计算声学参数序列与对应于关于注册词的语音单元标签系列的隐马尔可夫模型22的可能性，对应于语音单元标签序列的虚拟模型23的可能性，用于识别除登记字之外的语音，并且基于似然性执行语音识别。

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