An instrumentās identity is set by its unique recipe of frequency components
Evidence
Every instrument therefore has an underlying set of partials in its specĀ trum (see Chapter 1) from which we are able to recognize it from other instruments. These can be thought of as the frequency component ārecĀ ipeā underlying the particular sound of that instrument. Figure 3.1 shows the acoustic pressure waveform for different notes played on four orchesĀ tral instruments and Figure 3.2 shows the amplitudeāfrequency spectrum for each. Notice that the shape of the waveform for each of the notes is difĀ ferent and so is the recipe of frequency components. Each of these notes would be perceived as being the note A4 but as having different timbres. ā David Howard, Jamie Angus, coustics and Psychoacoustics, 784
Categorization
- DEFINE: Introduces the ārecipeā mental model for how amplitude-frequency spectra encode an instrumentās sonic identity.
- XREF: connects to: Each instrumentās timbre is defined by its unique recipe of harmonic partials; The spectrum of partials forms a unique recognizable signature for each instrument; Instrument timbre differences stem from harmonic spectra that shape masking breadth ā Professor Dr.-Ing. Hugo Fastl, Professor Dr.-Ing. Eberhard, Psychoacoustics- Facts and Models, 449 (+1 more)
Broader Connections
- Each instrumentās timbre is defined by its unique recipe of harmonic partials
#corroborates(0.97) - The spectrum of partials forms a unique recognizable signature for each instrument
#corroborates(0.95) - Instrument timbre differences stem from harmonic spectra that shape masking breadth
#expands(0.78) ā Professor Dr.-Ing. Hugo Fastl, Professor Dr.-Ing. Eberhard, Psychoacoustics- Facts and Models, 449 - Frequency-domain analysis may hide the very properties that make violins great
#complicates(0.78) ā Eric J. Heller, Why You Hear What You Hear- Anā¦, 1780