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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Miyamoto, K. Kameoka, H. Takeda, H. Nishimoto, T. Sagayama, S. |
| Copyright Year | 2007 |
| Description | Author affiliation: Graduate Sch. of Inf. Sci. & Technol., Tokyo Univ., Japan (Miyamoto, K.; Kameoka, H.; Takeda, H.; Nishimoto, T.; Sagayama, S.) |
| Abstract | We discuss automatic music transcription from audio input to music score by integrating our probabilistic approaches to multipitch spectral analysis, rhythm recognition and tempo estimation. In spectral analysis, acoustic energies in spectrogram are clustered into acoustic objects (i.e., music notes) with our method called harmonic-temporal-structured clustering (HTC) utilizing EM algorithm over a structured Gaussian mixture with constraints of harmonic structure and temporal smoothness. After onset and offset timings are found from separated energies of music notes through note power envelope modeling to obtain the piano-roll representation, the rhythm and tempo are simultaneously recognized and estimated in terms of maximum posterior probability given a probabilistic note duration models with HMM (hidden Markov model) and probabilistic "rhythm vocabulary." Variable tempo is also modeled by a smooth analytic curve. Rhythm recognition and tempo estimation is alternately performed to iteratively maximize the joint posterior probability. Experimental results are also shown. |
| File Size | 891928 |
| File Format | |
| ISBN | 1424407273 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2007.366331 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-04-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Multiple signal classification Rhythm Hidden Markov models Signal processing Frequency estimation Spectral analysis Timing Music information retrieval Instruments Information science HMM music transcription harmonic-temporal-structured clustering rhythm estimation |
| Content Type | Text |
| Resource Type | Article |
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