Audio Processing
Audio Processing - Related Videos
09:01
Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind
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Cited by 33 •
2013
Audio-based Environment Simulator (AbES) is virtual environment software designed to improve real world navigation skills in the blind.
07:31
Investigating the Effect of Visual Imagery and Learning Shape-Audio Regularities on Bouba and Kiki
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Cited by 3 •
2019
The aim of the presented protocol is to investigate the role of visual imagery in the bouba/kiki-effect, whether training in noticing the bouba/kiki shape-audio regularities affects the bouba/kiki-effect and the recognition of individual bouba and kiki shapes, and finally what mental images these regularities produce.
11:39
Assessment of Audio-Tactile Sensory Substitution Training in Participants with Profound Deafness Using the Event-Related Potential Technique
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2022
This protocol is designed to explore underlying learning-related electrophysiological changes in subjects with profound deafness after a short training period in audio-tactile sensory substitution by applying the event-related potential technique.
01:30
Processes at Electrodes
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2026
The electrode interacts with ions in the electrolyte solution at its interface. The rate of oxidation and reduction depends on the speed at which electrons can transfer through this interface. As ions attach to or leave the electrode surface, the electrode acquires a charge, and an electrical potential forms across the interface, making the process more difficult to reach equilibrium. The charge on the electrode affects the local ion concentrations in the solution, though thermal motion...
01:21
Isothermal Processes
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2025
A thermodynamic process that occurs at constant temperature is called an isothermal process. Heat slowly flows into the system or out of the system to maintain thermal equilibrium. Processes involving phase changes like water evaporation into steam or freezing water into ice at a constant temperature are examples of Isothermal Processes. An ideal gas can also undergo isothermal expansion or compression. For example, consider 1 mole of an ideal gas inside an isolated cylinder at initial volume V...
FAQs
Sampling controls how accurately a microphone’s continuous signal becomes a sequence of digital values. The sampling rate determines the temporal resolution available to later algorithms, while the resulting samples provide the basis for filtering, amplification, and frequency analysis. Engineers therefore select sampling conditions with the intended recording, transmission, or reproduction task in mind.
Fourier analysis changes the way engineers inspect a signal by expressing it in terms of frequency components rather than only time-varying amplitude. This representation helps identify which frequency regions contain useful audio or unwanted noise. Engineers can then target those regions with filtering or equalization, supporting more selective modification than treating the entire signal uniformly.
Filtering and equalization modify selected frequency regions, whereas amplification can change signal level more broadly. Noise reduction also seeks to suppress unwanted sound, but its purpose is tied to improving the signal-to-noise relationship rather than simply reshaping tonal balance. Separating these goals helps engineers choose operations that alter desired audio features while limiting distortion.
Compression addresses signal dynamics, the variation between quieter and louder portions of audio. By changing those level relationships, it can make a signal more manageable for recording, transmission, or reproduction without focusing primarily on its frequency content. Engineers consider compression separately from equalization because the two operations affect different signal properties and can produce different outcomes.
A typical engineering workflow begins with microphone capture, conversion into digital samples, and selection of processing operations suited to the intended result. The system may then filter, amplify, equalize, compress, analyze in the frequency domain, or reduce noise before reproduction or transmission. Evaluating signal-to-noise relationships helps determine whether processing preserves useful audio and limits unwanted distortion.
Audio processing supports different engineering requirements across speech recognition, music production, hearing devices, telecommunications, robotics, and multimedia systems. In speech recognition, preserving informative audio features can assist later interpretation; in hearing devices, selective modification can improve how sound is presented. The appropriate algorithm therefore depends on whether the priority is analysis, communication, recording, or reproduction.