{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T05:08:05Z","timestamp":1722575285836},"reference-count":14,"publisher":"MIT Press - Journals","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computer Music Journal"],"published-print":{"date-parts":[[2012,9]]},"abstract":"<jats:p>We present a method to recuperate fingerings for a given piece of violin music in order to recreate the timbre of a given audio recording of the piece. This is achieved by first analyzing an audio signal to determine the most likely sequence of two-dimensional fingerboard locations (string number and location along the string), which recovers elements of violin fingering relevant to timbre. This sequence is then used as a constraint for finding an ergonomic sequence of finger placements that satisfies both the sequence of notated pitch and the given fingerboard-location sequence.<\/jats:p><jats:p>Fingerboard-location-sequence estimation is based on estimation of a hidden Markov model, each state of which represents a particular fingerboard location and emits a Gaussian mixture model of the relative strengths of harmonics. The relative strengths of harmonics are estimated from a polyphonic mixture using score-informed source segregation, and compensates for discrepancies between observed data and training data through mean normalization.<\/jats:p><jats:p>Fingering estimation is based on the modeling of a cost function for a sequence of finger placements. We tailor our model to incorporate the playing practices of the violin.<\/jats:p><jats:p>We evaluate the performance of the fingerboard-location estimator with a polyphonic mixture, and with recordings of a violin whose timbral characteristics differ significantly from that of the training data. We subjectively evaluate the fingering estimator and validate the effectiveness of tailoring the fingering model towards the violin.<\/jats:p>","DOI":"10.1162\/comj_a_00129","type":"journal-article","created":{"date-parts":[[2012,8,14]],"date-time":"2012-08-14T14:16:05Z","timestamp":1344953765000},"page":"57-72","source":"Crossref","is-referenced-by-count":7,"title":["Automated Violin Fingering Transcription Through Analysis of an Audio Recording"],"prefix":"10.1162","volume":"36","author":[{"given":"Akira","family":"Maezawa","sequence":"first","affiliation":[{"name":"Department of Intelligence Science and Technology, Kyoto University Graduate School of Informatics, Yoshida Honmachi, Sakyo, Kyoto 606-8501, Japan."}]},{"given":"Katsutoshi","family":"Itoyama","sequence":"additional","affiliation":[{"name":"Department of Intelligence Science and Technology, Kyoto University Graduate School of Informatics, Yoshida Honmachi, Sakyo, Kyoto 606-8501, Japan."}]},{"given":"Kazunori","family":"Komatani","sequence":"additional","affiliation":[{"name":"Department of Intelligence Science and Technology, Kyoto University Graduate School of Informatics, Yoshida Honmachi, Sakyo, Kyoto 606-8501, Japan."}]},{"given":"Tetsuya","family":"Ogata","sequence":"additional","affiliation":[{"name":"Department of Intelligence Science and Technology, Kyoto University Graduate School of Informatics, Yoshida Honmachi, Sakyo, Kyoto 606-8501, Japan."}]},{"given":"Hiroshi G.","family":"Okuno","sequence":"additional","affiliation":[{"name":"Department of Intelligence Science and Technology, Kyoto University Graduate School of Informatics, Yoshida Honmachi, Sakyo, Kyoto 606-8501, Japan."}]}],"member":"281","reference":[{"key":"p_1","first-page":"189","author":"Barbancho I.","year":"2009","journal-title":"Proceedings of the International Conference on Acoustics, Speech and Signal Processing"},{"key":"p_2","first-page":"196","author":"Burns A. 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