Optimizing Chew and Chen's Pitch-Spelling Algorithm
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چکیده
منابع مشابه
Optimizing Chew and Chen's Pitch-Spelling Algorithm
This copy has been supplied on the understanding that it is copyright material. Duplication or sale of all or part of any of the GRO Data Collections is not permitted, and no quotation or excerpt from the work may be published without the prior written consent of the copyright holder/s. Pitch-spelling algorithms attempt to compute the correct pitch names (e.g., C#4, B ♭ 5) of the notes in a pas...
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In this paper is described a data-driven algorithm for the functionally correct spelling of MIDI pitch values in terms of Western musical notation. Input is in the form of MIDI files containing accurate pitch and rhythmic information with corresponding ground-truth spelling information for training and evaluation. The algorithm recovers harmonic information from the MIDI data and spells pitches...
متن کاملComparing Pitch Spelling Algorithms
A pitch spelling algorithm predicts the pitch names of the notes in a musical passage when given the onset-time, MIDI note number and possibly the duration and voice of each note. Various versions of the algorithms of LonguetHiggins, Cambouropoulos, Temperley and Sleator, Chew and Chen, and Meredith were run on a corpus containing 195972 notes, equally divided between eight classical and baroqu...
متن کاملPST : Pitch Spelling
Pitch spelling is the process of assigning contextually correct letter names to numeric representations for musical pitch such as MIDI numbers. Each pitch is represented by a number in MIDI and other digital formats, and the same number, say, 58 could map to A# or Bb depending on the key context. Accurate pitch spelling is a critical component of systems for automated transcription, computer mu...
متن کاملPitch Spelling Algorithms
In this paper I introduce a new algorithm called ps13 that reliably computes the correct pitch names (e.g., C 4, B 5 etc.) of the notes in a passage of tonal music, when given only the onset-time and MIDI note number of each note in the passage. ps13 correctly predicts the pitch names of 99.81% of the notes in a test corpus containing 41544 notes and consisting of all the pieces in the first bo...
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ژورنال
عنوان ژورنال: Computer Music Journal
سال: 2007
ISSN: 0148-9267,1531-5169
DOI: 10.1162/comj.2007.31.2.54