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  2. Music information retrieval - Wikipedia

    en.wikipedia.org/wiki/Music_information_retrieval

    This process involves several audio analysis tasks, which may include multi-pitch detection, onset detection, duration estimation, instrument identification, and the extraction of harmonic, rhythmic or melodic information. This task becomes more difficult with greater numbers of instruments and a greater polyphony level.

  3. Artificial intelligence content detection - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence...

    Multiple AI detection tools have been demonstrated to be unreliable in terms of accurately and comprehensively detecting AI-generated text. In a study conducted by Weber-Wulff et al., and published in 2023, researchers evaluated 14 detection tools including Turnitin and GPT Zero, and found that "all scored below 80% of accuracy and only 5 over 70%."

  4. Studio One (software) - Wikipedia

    en.wikipedia.org/wiki/Studio_One_(software)

    Version 2 of Studio One was announced on 17 October 2011, [13] [14] and released on 31 October 2011 (alongside the 2.0.2 update). [15] This release of the software introduced multiple enhancements, including integration with Celemony Melodyne, transient detection & quantization, groove extraction, multi-track comping, folder tracks, multi-track MIDI editing, an updated browser, and new plug-ins.

  5. Music and artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Music_and_artificial...

    Spike AI is an AI-based audio plug-in, developed by Spike Stent in collaboration with his son Joshua Stent and friend Henry Ramsey, that analyzes tracks and provides suggestions to increase clarity and other aspects during mixing. Communication is done by using a chatbot trained on Spike Stent's personal data.

  6. Band-in-a-Box - Wikipedia

    en.wikipedia.org/wiki/Band-in-a-Box

    The "Audio Chord Wizard"(ACW), released with the 2007 version of BIAB, made it possible for a user to import any audio song file to be analyzed by the software. The ACW then "listens" to the song, analyses the chords, and prints out the chords in standard chord notation. From there, the user may produce sheet music for that song.

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  9. Optical music recognition - Wikipedia

    en.wikipedia.org/wiki/Optical_music_recognition

    Optical music recognition (OMR) is a field of research that investigates how to computationally read musical notation in documents. [1] The goal of OMR is to teach the computer to read and interpret sheet music and produce a machine-readable version of the written music score.