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Fourier-based methods for the spectral analysis of musical sounds

机译:基于傅立叶的音乐频谱分析方法

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When dealing with musical sounds, the short-time Fourier transform prevails and sinusoids play a key role, according to both acoustics (vibrating modes) and psychoacoustics (pure tones). The values obtained when decomposing the signal on the time-frequency atoms are usually assigned to their geometrical center, leading to estimation errors for the sinusoidal parameters. To correct this, one can exploit the amplitude or phase information, use the derivatives of the analysis window, or those of the audio signal. This leads to three methods (phase vocoder, spectral reassignment, derivative algorithm) equally efficient: they are in fact different formulations of the best analysis method based on the Fourier spectrum.
机译:在处理音乐声音时,根据声学(振动模式)和心理声学(纯音),短时傅立叶变换占主导地位,正弦曲线起着关键作用。在时频原子上分解信号时获得的值通常分配给它们的几何中心,从而导致正弦参数的估计误差。要纠正此问题,可以利用幅度或相位信息,使用分析窗口的导数或音频信号的导数。这导致三种方法(相位声码器,频谱重新分配,导数算法)同样有效:它们实际上是基于傅立叶频谱的最佳分析方法的不同表述。

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