Generative Spectrogram Factorization Models for Polyphonic Piano Transcription
نویسندگان
چکیده
منابع مشابه
Polyphonic Piano Transcription
In this project we want to employ machine learning algorithms to extract the notes that are played in a polyphonic piano song. There has been a lot of research on music transcription recently, but most of them are aimed at monophonic identification. In this project, we looked at the problem in a more general way and tried to improve the performance using di↵erent techniques(1). One of the signi...
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In this paper, we present methods to improve the generalization capabilities of a classification-based approach to polyphonic piano transcription. Support vector machines trained on spectral features are used to classify frame-level note instances, and the independent classifications are temporally constrained via hidden Markov model post-processing. Semi-supervised learning and multiconditioni...
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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...
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In this paper we present a model for simultaneous tempo and polyphonic pitch tracking. Our model, a form of Dynamical Bayesian Network [1], embodies a transparent and computationally tractable approach to this acoustic analysis problem. An advantage of our approach is that it places emphasis on modeling the sound generation procedure. It provides a clear framework in which both high level (cogn...
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This paper presents a connectionist approach to transcription of polyphonic piano music. We propose a new partial tracking technique based on a combination of an auditory model and adaptive oscillator networks. We show how synchronization of adaptive oscillators can be exploited to track partials in a musical signal. Our system uses time-delay neural networks to recognize notes from outputs of ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Audio, Speech, and Language Processing
سال: 2010
ISSN: 1558-7916
DOI: 10.1109/tasl.2009.2029769