A spectrogram displays a sound’s spectrum plotted against time
Evidence
Figure 1.64 is a useful way of showing both the time and frequency characteristics of a sound signal at the same time, called a spectrogram. In this representation, the spectrum of a signal is plotted as a function of time, with frequency — David M. Howard, Jamie Angus, Acoustics and Psychoacoustics, 492
Categorization
Category: Definitional Content
- DEFINE: Introduces the spectrogram as the simultaneous time-frequency display central to all acoustic analysis.
Related
- Spectrograms plot frequency against time to show both at once (similarity 0.95)
- A spectrogram preserves timing of acoustic changes in a note (similarity 0.90)
- Spectrogram gray-scale plots show how a sound’s spectrum changes over time (similarity 0.88)
- Harmonics appear as horizontal lines at fixed vertical positions (similarity 0.86)
- Temporal change is a defining feature of natural sound perception (similarity 0.84)
- Hearing is highly sensitive to temporal changes in sound (similarity 0.83)
- Spectrograms require intensity maps or waterfall plots because they are three-dimensional (similarity 0.82)
- Short-time Fourier analysis converts signals into spectrograms via windowed transforms (similarity 0.82)
- Two kinds of sound change activate different processing features in hearing (similarity 0.80)
- Speech spectrograms are derived using cochlear-scaled band partitioning following Greenwood spacing (similarity 0.80)
- Hearing-modeling spectrograms use an ERB frequency axis from modeled auditory filters. (similarity 0.79)
- A single amplitude envelope cannot capture how separate spectral parts evolve (similarity 0.79)
- Sound spectrum analysis depends on banks of filters to decompose signals (similarity 0.79)
- Normal hearing yields a temporal resolution factor near unity (similarity 0.78)
Broader Connections
- Perception of changing sound requires simultaneous time and frequency resolution
#expands(0.85) — Eric J. Heller, Why You Hear What You Hear- An…, 435