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  2. MUSIC (algorithm) - Wikipedia

    en.wikipedia.org/wiki/MUSIC_(algorithm)

    MUSIC is a generalization of Pisarenko's method, and it reduces to Pisarenko's method when = +. In Pisarenko's method, only a single eigenvector is used to form the denominator of the frequency estimation function; and the eigenvector is interpreted as a set of autoregressive coefficients, whose zeros can be found analytically or with ...

  3. Music-specific disorders - Wikipedia

    en.wikipedia.org/wiki/Music-specific_disorders

    The term "agnosia" refers to a loss of knowledge. Acquired music agnosia is the "inability to recognize music in the absence of sensory, intellectual, verbal, and mnesic impairments". [11] Music agnosia is most commonly acquired; in most cases it is a result of bilateral infarction of the right temporal lobes.

  4. Amusia - Wikipedia

    en.wikipedia.org/wiki/Amusia

    Amusia is a musical disorder that appears mainly as a defect in processing pitch but also encompasses musical memory and recognition. [1] Two main classifications of amusia exist: acquired amusia, which occurs as a result of brain damage, and congenital amusia, which results from a music-processing anomaly present since birth.

  5. Spill (audio) - Wikipedia

    en.wikipedia.org/wiki/Spill_(audio)

    Spill occurs when sound is detected by a microphone not intended to pick it up (for example, the vocals being detected by the microphone for the guitar). [3] Spill is often undesirable in popular music recording, [4] as the combined signals during the mix process can cause phase cancellation and may cause difficulty in processing individual tracks. [2]

  6. Dynamic range compression - Wikipedia

    en.wikipedia.org/wiki/Dynamic_range_compression

    When the signal level is below the threshold, no processing is performed and the input signal is passed, unmodified, to the output. Thus a higher threshold of, e.g., −5 dB, results in less processing, less compression. Threshold timing behavior is subject to attack and release settings (see below).

  7. Audio signal processing - Wikipedia

    en.wikipedia.org/wiki/Audio_signal_processing

    The motivation for audio signal processing began at the beginning of the 20th century with inventions like the telephone, phonograph, and radio that allowed for the transmission and storage of audio signals. Audio processing was necessary for early radio broadcasting, as there were many problems with studio-to-transmitter links. [1]

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  9. Computational musicology - Wikipedia

    en.wikipedia.org/wiki/Computational_musicology

    Examples of this branch of research would include digitizing scores ranging from 15th Century neumenal notation to contemporary Western music notation. Like sheet music data, symbolic data refers to musical notation in a digital format, but symbolic data is not human readable and is encoded in order to be parsed by a computer.