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HARMONICITY ESTIMATION, AUDIO CLASSIFICATION, PITCH DETERMINATION AND NOISE ESTIMATION

机译:谐波估计,音频分类,音高确定和噪声估计

摘要

Embodiments are described for harmonicity estimation, audio classification, pitch determination and noise estimation. Measuring harmonicity of an audio signal includes calculation a log amplitude spectrum of audio signal. A first spectrum is derived by calculating each component of the first spectrum as a sum of components of the log amplitude spectrum on frequencies. In linear frequency scale, the frequencies are odd multiples of the component's frequency of the first spectrum. A second spectrum is derived by calculating each component of the second spectrum as a sum of components of the log amplitude spectrum on frequencies. In linear frequency scale, the frequencies are even multiples of the component's frequency of the second spectrum. A difference spectrum is derived subtracting the first spectrum from the second spectrum. A measure of harmonicity is generated as a monotonically increasing function of the maximum component of the difference spectrum within predetermined frequency range.
机译:描述了用于谐波估计,音频分类,音调确定和噪声估计的实施例。测量音频信号的谐波包括计算音频信号的对数幅度谱。通过计算第一频谱的每个分量作为对数振幅频谱在频率上的分量之和,可以得出第一频谱。在线性频率标度中,频率是第一频谱的组件频率的奇数倍。通过计算第二频谱的每个分量作为对数振幅频谱在频率上的分量之和,可以得出第二频谱。在线性频率标度中,频率甚至是第二频谱的组件频率的倍数。从第二光谱减去第一光谱得出差分光谱。在预定频率范围内,谐波度量作为差异频谱最大分量的单调递增函数生成。

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