User:Humandolphyn/sandbox

Audio Analysis
Audio analysis refers to the extraction of information and meaning from audio signals for analysis, classification, storage, retrieval, synthesis, etc. The observation mediums and interpretation methods vary, as audio analysis can refer to the human ear and how people interpret the audible sound source, or it could refer to using technology such as an Audio analyzer to evaluate other qualities of a sound source such as amplitude, distortion, frequency response, and more. Once an audio source's information has been observed, the information revealed can then be analyzed for the logical, emotional, descriptive, or otherwise relevant interpretation by the user.

Natural Analysis
The most prevalent form of audio analysis is derived from the sense of hearing. A type of sensory perception that occurs in much of the planet's fauna, audio analysis is a fundamental process of many living beings. Sounds made by the surrounding environment or other living beings provides input to the hearing mechanism, for which the listener's brain can interpret the sound and how it should respond. Examples of functions include speech, startle response, music listening, and more.

Signal Analysis
Audio signals can be analyzed in several different ways, depending on the kind of information desired from the signal.

Types of signal analysis include:


 * Level and gain
 * Frequency Response
 * Total Harmonic Distortion plus Noise (THD+N)
 * Spectral analysis
 * Phase
 * Crosstalk
 * Intermodulation Distortion (IMD)

Hardware analyzers have been the primary means of signal analysis since the invention of the first audio analyzer, made by Hewlett-Packard, the HP200A. Hardware analyzers are typically used in engineering, testing, and manufacturing of professional and consumer grade products. As computer technology progressed, integrated software found its way into these hardware systems, and later there would be audio analysis tools that did not require any hardware components save for the computer running the software. Software audio analyzers are regularly used in various stages of music production, such as live audio, mixing, and mastering. These products tend to employ Fast Fourier Transform (FFT) algorithms and processing to provide a visual representation of the signal being analyzed. Display and information types include frequency spectrum, stereo field, surround field, spectrogram, and more.

Level and Gain
Analyzers that provide information relevant to level and gain allows the user to understand how much signal is present at any given time in live or recorded audio signal. This information is important to live audio mixing engineers, recording engineers, mastering engineers, and the process of manufacturing products that produce sound that must be normalized.

Frequency Response
Frequency response analyzers, such as spectrum analyzers or spectrograms, reveal the amount of signal that is represented in the frequency spectrum of the source. This is often used in a audio production applications, for balancing appropriate amounts of frequency information. For example, an analyzer may reveal that there is an excess of sub-bass frequencies in a song, and an audio engineer may use that information to make appropriate correction. Frequency analyzers are not specific to audio, and can also be found in astronomy, optics, and more.

Stereo and Surround Field
Stereo and surround analyzers provide information regarding the spatial orientation of a sound signal. Audio engineers use stereo panning to move sounds to the left or right within the stereo spectrum, and an analyzer can provide more detailed and precise information regarding it's position.

Phase
Phase analyzers are used to compare two or more different signals to determine if there is any destructive interference between the signals in comparison.