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1. 发明申请

US20110093260A1 SIGNAL CLASSIFYING METHOD AND APPARATUS 有权
标题翻译：信号分类方法和装置
公开(公告)号：US20110093260A1
公开(公告)日：2011-04-21
申请号：US12979994
申请日：2010-12-28
申请人： Yuanyuan Liu , Zho Wang , Eyal Shlomot
发明人： Yuanyuan Liu , Zho Wang , Eyal Shlomot
IPC分类号： G10L19/00
CPC分类号： G10L25/81 , G10L2025/786
摘要： A signal classifying method and apparatus are disclosed. The signal classifying method includes: obtaining a spectrum fluctuation parameter of a current signal frame determined as a foreground frame, and buffering the spectrum fluctuation parameter; obtaining a spectrum fluctuation variance of the current signal frame according to spectrum fluctuation parameters of all buffered signal frames, and buffering the spectrum fluctuation variance; and calculating a ratio of signal frames whose spectrum fluctuation variance is above or equal to a first threshold to all the buffered signal frames, and determining the current signal frame as a speech frame if the ratio is above or equal to a second threshold or determining the current signal frame as a music frame if the ratio is below the second threshold. In the embodiments of the present disclosure, the spectrum fluctuation variance of the signal is used as a parameter for classifying the signals, and a local statistical method is applied to decide the type of the signal. Therefore, the signals are classified with few parameters, simple logical relations and low complexity.
摘要翻译：公开了一种信号分类方法和装置。信号分类方法包括：获取确定为前景帧的当前信号帧的频谱波动参数，并缓冲频谱波动参数; 根据所有缓冲信号帧的频谱波动参数获得当前信号帧的频谱波动方差，并缓存频谱波动方差; 并且计算频谱波动方差高于或等于第一阈值的信号帧对所有缓冲信号帧的比率，以及如果比率高于或等于第二阈值则确定当前信号帧为语音帧，或者确定如果比率低于第二阈值，则将当前信号帧作为音乐帧。在本公开的实施例中，信号的频谱波动方差被用作用于对信号进行分类的参数，并且应用局部统计方法来确定信号的类型。因此，信号分为几个参数，简单的逻辑关系和低复杂度。

2. 发明授权

US08438021B2 Signal classifying method and apparatus 有权
标题翻译：信号分类方法和装置
公开(公告)号：US08438021B2
公开(公告)日：2013-05-07
申请号：US12979994
申请日：2010-12-28
申请人： Yuanyuan Liu , Zho Wang , Eyal Shlomot
发明人： Yuanyuan Liu , Zho Wang , Eyal Shlomot
IPC分类号： G10L15/20 , G10L11/04 , G10L15/04
CPC分类号： G10L25/81 , G10L2025/786
摘要： A signal classifying method and apparatus are disclosed. The signal classifying method includes: obtaining a spectrum fluctuation parameter of a current signal frame determined as a foreground frame, and buffering the spectrum fluctuation parameter; obtaining a spectrum fluctuation variance of the current signal frame according to spectrum fluctuation parameters of all buffered signal frames, and buffering the spectrum fluctuation variance; and calculating a ratio of signal frames whose spectrum fluctuation variance is above or equal to a first threshold to all the buffered signal frames, and determining the current signal frame as a speech frame if the ratio is above or equal to a second threshold or determining the current signal frame as a music frame if the ratio is below the second threshold. In the embodiments of the present disclosure, the spectrum fluctuation variance of the signal is used as a parameter for classifying the signals, and a local statistical method is applied to decide the type of the signal. Therefore, the signals are classified with few parameters, simple logical relations and low complexity.
摘要翻译：公开了一种信号分类方法和装置。信号分类方法包括：获取确定为前景帧的当前信号帧的频谱波动参数，并缓冲频谱波动参数; 根据所有缓冲信号帧的频谱波动参数获得当前信号帧的频谱波动方差，并缓存频谱波动方差; 并且计算频谱波动方差高于或等于第一阈值的信号帧对所有缓冲信号帧的比率，以及如果比率高于或等于第二阈值则确定当前信号帧为语音帧，或者确定如果比率低于第二阈值，则将当前信号帧作为音乐帧。在本公开的实施例中，信号的频谱波动方差被用作用于对信号进行分类的参数，并且应用局部统计方法来确定信号的类型。因此，信号分为几个参数，简单的逻辑关系和低复杂度。

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