Similar speaker recognition method and system using nonlinear analysis
    1.
    发明申请
    Similar speaker recognition method and system using nonlinear analysis 审中-公开
    类似的说话人识别方法和使用非线性分析的系统

    公开(公告)号:US20060020458A1

    公开(公告)日:2006-01-26

    申请号:US11008687

    申请日:2004-12-10

    IPC分类号: G10L17/00

    CPC分类号: G10L17/02

    摘要: Disclosed herein is a similar speaker recognition method and system using nonlinear analysis. The recognition method extracts a nonlinear feature of a sound signal through nonlinear analysis of the sound signal and combines the nonlinear feature with a linear feature such as spectrum. The method transforms sound data in a time domain into status vectors in a phase domain and uses a nonlinear time series analysis method capable of representing nonlinear features of the status vectors to extract nonlinear information of a sound. The method can overcome technical limitations of conventional linear algorithms. The recognition method can be applied to sound-related application systems other than speaker recognition systems.

    摘要翻译: 这里公开的是使用非线性分析的类似的说话者识别方法和系统。 识别方法通过声音信号的非线性分析提取声音信号的非线性特征,并将非线性特征与光谱等线性特征相结合。 该方法将时域中的声音数据转换为相域中的状态向量,并使用能够表示状态向量的非线性特征的非线性时间序列分析方法来提取声音的非线性信息。 该方法可以克服传统线性算法的技术局限性。 识别方法可以应用于除扬声器识别系统之外的声音相关应用系统。

    SIMILAR SPEAKER RECOGNITION METHOD AND SYSTEM USING NONLINEAR ANALYSIS
    2.
    发明申请
    SIMILAR SPEAKER RECOGNITION METHOD AND SYSTEM USING NONLINEAR ANALYSIS 审中-公开
    类似的扬声器识别方法和使用非线性分析的系统

    公开(公告)号:US20100145697A1

    公开(公告)日:2010-06-10

    申请号:US12607532

    申请日:2009-10-28

    IPC分类号: G10L17/00

    CPC分类号: G10L17/02

    摘要: Disclosed herein is a similar speaker recognition method and system using nonlinear analysis. The recognition method extracts a nonlinear feature of a sound signal through nonlinear analysis of the sound signal and combines the nonlinear feature with a linear feature such as spectrum. The method transforms sound data in a time domain into status vectors in a phase domain and uses a nonlinear time series analysis method capable of representing nonlinear features of the status vectors to extract nonlinear information of a sound. The method can overcome technical limitations of conventional linear algorithms. The recognition method can be applied to sound-related application systems other than speaker recognition systems.

    摘要翻译: 这里公开的是使用非线性分析的类似的说话者识别方法和系统。 识别方法通过声音信号的非线性分析提取声音信号的非线性特征,并将非线性特征与光谱等线性特征相结合。 该方法将时域中的声音数据转换为相域中的状态向量,并使用能够表示状态向量的非线性特征的非线性时间序列分析方法来提取声音的非线性信息。 该方法可以克服传统线性算法的技术局限性。 识别方法可以应用于除扬声器识别系统之外的声音相关应用系统。