Acoustic Parameter Extraction
Acoustic Parameter Extraction - Related Videos
12:26
Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics
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Cited by 4 •
2013
In this video we first describe fabrication and operation procedures of a surface acoustic wave (SAW) acoustic counterflow device. We then demonstrate an experimental setup that allows for both qualitative flow visualization and quantitative analysis of complex flows within the SAW pumping device.
08:38
Habituation and Prepulse Inhibition of Acoustic Startle in Rodents
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Cited by 164 •
2011
Habituation and prepulse inhibition of startle are operational measures of sensory gating. Sensory gating is disrupted in schizophrenia, and some other mental disorders and neurodegenerative diseases. We here describe a standard protocol to assess short-term and long-term habituation as well as prepulse inhibition of acoustic startle responses in rats and mice.
14:22
Activating Molecules, Ions, and Solid Particles with Acoustic Cavitation
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Cited by 6 •
2014
Acoustic cavitation in liquids submitted to power ultrasound creates transient extreme conditions inside the collapsing bubbles, which are the origin of unusual chemical reactivity and light emission, known as sonoluminescence. In the presence of noble gases, nonequilibrium plasma is formed. The "hot" particles and the photons generated by collapsing bubbles are able to excite species in solution.
04:54
A Stable Phantom Material for Optical and Acoustic Imaging
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Cited by 8 •
2023
This protocol describes the fabrication of a stable, biologically relevant phantom material for optical and acoustic biomedical imaging applications, featuring independently tunable acoustic and optical properties.
06:42
Extraction of Biomarkers from Sediments - Accelerated Solvent Extraction
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2023
Source: Laboratory of Jeff Salacup - University of Massachusetts Amherst The distribution of a group of organic biomarkers called glycerol-dialkyl glycerol-tetraethers (GDGTs), produced by a suite of archaea and bacteria, were found in modern sediments to change in a predictable manner in response to air or water temperature1,2. Therefore, the distribution of these biomarkers in a sequence of sediments of known age can be used to reconstruct the evolution of air and/or water temperature on...
FAQs
Each parameter captures a different aspect of a sound. Frequency describes the signal’s rate of oscillation, amplitude represents its signal strength, duration measures how long it persists, and bandwidth reflects the range of frequencies present. Temporal patterns add information about how sounds are organized over time, allowing researchers to compare call structure across signals or behavioral conditions.
Filtering and segmentation help focus analysis on the vocalization or acoustic event of interest. Filtering can prepare the recording for measurement, while segmentation separates individual calls or relevant signal portions from surrounding sound. Consistent preparation makes extracted values more comparable and helps prevent unrelated portions of a recording from influencing measurements of frequency, amplitude, duration, or timing.
Changes in measured acoustic features can provide quantitative evidence that vocal behavior differs across situations. Researchers may compare frequency, amplitude, duration, bandwidth, or temporal organization between social interactions, environmental conditions, behavioral states, signal types, or experimental treatments. This approach turns differences in recorded vocalizations into comparable data that can support analysis of behavioral variation.
Listening provides a direct perceptual impression, whereas parameter extraction represents the recording through measurable acoustic variables. Quantitative values allow researchers to compare signals systematically across calls, individuals, conditions, or treatments. The resulting measurements can reveal structured differences that are difficult to document consistently through listening alone, while still remaining tied to the original recorded vocalizations.
A typical workflow begins with a sound recording, followed by signal preparation such as filtering when appropriate. Researchers then segment individual calls or other relevant acoustic events and measure selected features, including frequency, amplitude, duration, bandwidth, or temporal pattern. The resulting parameter values can be organized for comparisons among vocalizations, behavioral contexts, environmental conditions, or experimental treatments.
The most informative measurements depend on the comparison, but frequency, amplitude, duration, bandwidth, and temporal pattern provide complementary descriptions of calls. Examining several parameters together can distinguish changes in pitch-related structure, signal strength, time course, spectral extent, or organization. This multidimensional view supports comparisons of vocalizations associated with social interactions, environmental conditions, or behavioral states.
In behavioral studies, extracted measurements help characterize animal communication and identify acoustic differences linked to behavior. Researchers can use comparable parameter data to examine vocal responses during social interactions, changes under environmental conditions, distinctions among signal types, or effects associated with experimental treatments. These analyses support objective descriptions of how behavior is reflected in recorded sound.