Bilingual edition: English is preserved and Chinese follows each unit. Terminology uses the confirmed v20260916 glossary; automated semantic review remains traceable.
中英双语版:英文原文完整保留,中文紧随对应单元;术语采用 v20260916 确认表,自动语义审校结果可追溯。

Harmonic Content Demonstration

谐波内容演示

To illustrate the fact that harmonic content is the major contributer to sound timbre for sustained sounds, the Science of Sound demonstration package produced by Bell Telephone Laboratories in the 1960s contained recordings of a factory whistle, a soprano and a piano that had been carefully adjusted to the same pitch and intensity. It was then demonstrated that if all of the harmonics were filtered out, the tones were almost indistinguishable.

为了说明谐波成分是持续音声音色的主要决定因素,20世纪60年代由贝尔电话实验室生产的《声音科学》演示包中包含了一段工厂汽笛、女高音和钢琴的录音,这些录音已被仔细调整至相同的音调和音强。随后演示表明,如果所有谐波都被滤除,这些音几乎无法区分。

Displays of all three full sounds are shown below. The first display for each sound shows the amplitude as a function of time, and the second is the discrete Fourier transform, showing the amplitude of the fundamental and the first few harmonics. These displays were created with Macscope2 by Elisha Huggins.

下面展示了三种完整声音的显示。每种声音的第一个显示展示的是幅度随时间的变化,第二个显示是离散傅里叶变换,展示基频和前几个谐波的幅度。这些显示是由Elisha Huggins使用Macscope2创建的。
Factory Whistle
Soprano
Piano

The following illustrations group just the amplitude vs time displays for the three sounds. While the differences are evident, it is difficult to characterize them in detail.

以下示意图仅显示三种声音的振幅随时间变化的图形。虽然差异明显,但难以详细描述它们。
Comparison of waveforms vs time
Factory Whistle
Soprano
Piano

The illustrations below show the comparisons of the harmonic amplitudes. This kind of display is called a discrete Fourier transform. This is a much more definitive way to measure the differences between the sounds.

下面的示意图展示了谐波振幅的比较。这种显示方式称为离散傅里叶变换。这是一种更明确的测量声音差异的方法。
Comparison of harmonic content
Factory Whistle
Soprano
Piano

The illustrations below show qualitative differences between vowel sounds when the amplitude vs frequency is plotted. This kind of plot is a Fourier transform of the variation of amplitude vs time and can be correlated with how the human ear acts as a sound analyzer.

下面的示意图显示了在幅度与频率关系图中,元音声音的定性差异。这种图表是幅度与时间变化的傅里叶变换,可以与人耳作为声音分析器的作用相关联。

To explain how the ear can recognize different vowel sounds, the idea of vocal formants is invoked. This is a conceptualization only; no scaling to the inner ear was done. The place theory suggests that the ear distinguishes pitches based on the location of maximum excitation along the basilar membrane of the inner ear. So the ear acts as a sound analyzer which can detect differences in harmonic content by the different amounts of excitation at different places along the basilar membrane. Since sustained vowel sounds differ primarily in their harmonic content, this offers a mechanism by which the ear can distinguish them.

为了说明耳朵如何区分不同的元音声音,引入了‘共鸣峰’的概念。这是一种概念性的解释;并未对内耳进行任何缩放。位置理论认为,耳朵通过内耳基底膜上最大激发位置来区分音高。因此,耳朵像一个声音分析器,能够通过基底膜上不同位置的激发量差异来检测谐波成分的差异。由于持续的元音声音主要差异在于其谐波成分,这为耳朵区分这些声音提供了一种机制。
Geometric waves
几何波
工厂汽笛、女高音钢琴的波形与时间比较 工厂汽笛、女高音钢琴的谐波内容比较 工厂汽笛、女高音钢琴
Index

Loudness concepts

Hearing concepts
索引 响度概念 听觉概念
 
HyperPhysics***** Sound
HyperPhysics ***** 声音
R Nave
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