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Báo cáo hóa học: " Research Article A Discriminative Model for Polyphonic Piano Transcription"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A Discriminative Model for Polyphonic Piano Transcription | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 48317 9 pages doi 10.1155 2007 48317 Research Article A Discriminative Model for Polyphonic Piano Transcription Graham E. Poliner and Daniel P. W. Ellis Laboratory for Recognition and Organization of Speech and Audio Department of Electrical Engineering Columbia University New York NY 10027 USA Received 6 December 2005 Revised 17 June 2006 Accepted 29 June 2006 Recommended by Masataka Goto We present a discriminative model for polyphonic piano transcription. Support vector machines trained on spectral features are used to classify frame-level note instances. The classifier outputs are temporally constrained via hidden Markov models and the proposed system is used to transcribe both synthesized and real piano recordings. A frame-level transcription accuracy of 68 was achieved on a newly generated test set and direct comparisons to previous approaches are provided. Copyright 2007 Hindawi Publishing Corporation. All rights reserved. 1. INTRODUCTION Music transcription is the process of creating a musical score i.e. a symbolic representation from an audio recording. Although expert musicians are capable of transcribing polyphonic pieces of music the process is often arduous for complex recordings. As such the ability to automatically generate transcriptions has numerous practical implications in musi-cological analysis and may potentially aid in content-based music retrieval tasks. The transcription problem may be viewed as identifying the notes that have been played in a given time period i.e. detecting the onsets of each note . Unfortunately the harmonic series interaction that occurs in polyphonic music significantly obfuscates automated transcription. Moorer 1 first presented a limited system for duet transcription. Since then a number of acoustical models for polyphonic transcription have been presented in both the frequency domain Rossi et al. 2 Sterian 3 Dixon