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An End-to-End Neural Network for Polyphonic Piano Music Transcription
We present a supervised neural network model for polyphonic piano music transcription. The architecture of the proposed model is analogous to speech recognition systems and comprises an acousticExpand
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  • Open Access
Detection and Classification of Acoustic Scenes and Events: Outcome of the DCASE 2016 Challenge
Public evaluation campaigns and datasets promote active development in target research areas, allowing direct comparison of algorithms. The second edition of the challenge on detection andExpand
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  • Open Access
Detection and classification of acoustic scenes and events: An IEEE AASP challenge
This paper describes a newly-launched public evaluation challenge on acoustic scene classification and detection of sound events within a scene. Systems dealing with such tasks are far fromExpand
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  • Open Access
Automatic music transcription: challenges and future directions
Automatic music transcription is considered by many to be a key enabling technology in music signal processing. However, the performance of transcription systems is still significantly below that ofExpand
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  • Open Access
A Shift-Invariant Latent Variable Model for Automatic Music Transcription
In this work, a probabilistic model for multiple-instrument automatic music transcription is proposed. The model extends the shift-invariant probabilistic latent component analysis method, which isExpand
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  • Open Access
Roadmap for Music Information ReSearch
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A database and challenge for acoustic scene classification and event detection
An increasing number of researchers work in computational auditory scene analysis (CASA). However, a set of tasks, each with a well-defined evaluation framework and commonly used datasets do not yetExpand
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  • Open Access
An Efficient Temporally-Constrained Probabilistic Model for Multiple-Instrument Music Transcription
In this paper, an efficient, general-purpose model for multiple instrument polyphonic music transcription is proposed. The model is based on probabilistic latent component analysis and supports theExpand
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  • Open Access
Automatic Music Transcription: Breaking the Glass Ceiling
Automatic music transcription is considered by many to be the Holy Grail in the field of music signal analysis. However, the performance of transcription systems is still significantly below that ofExpand
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  • Open Access
Multiple-instrument polyphonic music transcription using a temporally constrained shift-invariant model.
A method for automatic transcription of polyphonic music is proposed in this work that models the temporal evolution of musical tones. The model extends the shift-invariant probabilistic latentExpand
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  • Open Access