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| Content Provider | ACM Digital Library |
|---|---|
| Author | Sagayama, Shigeki Nakamura, Tomohiko Nakamura, Eita |
| Copyright Year | 2016 |
| Abstract | This paper discusses real-time alignment of audio signals of music performance to the corresponding score (a.k.a. score following) which can handle tempo changes, errors and arbitrary repeats and/or skips (repeats/skips) in performances. This type of score following is particularly useful in automatic accompaniment for practices and rehearsals, where errors and repeats/skips are often made. Simple extensions of the algorithms previously proposed in the literature are not applicable in these situations for scores of practical length due to the problem of large computational complexity. To cope with this problem, we present two hidden Markov models of monophonic performance with errors and arbitrary repeats/skips, and derive efficient score-following algorithms with an assumption that the prior probability distributions of score positions before and after repeats/skips are independent from each other. We confirmed real-time operation of the algorithms with music scores of practical length (around 10000 notes) on a modern laptop and their tracking ability to the input performance within 0.7 s on average after repeats/skips in clarinet performance data. Further improvements and extension for polyphonic signals are also discussed. |
| Starting Page | 329 |
| Ending Page | 339 |
| Page Count | 11 |
| File Format | |
| ISSN | 23299290 |
| e-ISSN | 23299304 |
| DOI | 10.1109/TASLP.2015.2507862 |
| Volume Number | 24 |
| Issue Number | 2 |
| Journal | IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-02-01 |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Arbitrary repeats and skips Audio-to-score alignment Fast Viterbi algorithm Hidden Markov model Music signal processing Score following |
| Content Type | Text |
| Resource Type | Article |
| Subject | Instrumentation Computational Mathematics Signal Processing Electrical and Electronic Engineering Acoustics and Ultrasonics Speech and Hearing Media Technology |
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