A Uniform Framework for Ad-Hoc Indexes to Answer Reachability Queries on Large Graphs
DASFAA '09 Proceedings of the 14th International Conference on Database Systems for Advanced Applications
Source/filter model for unsupervised main melody extraction from polyphonic audio signals
IEEE Transactions on Audio, Speech, and Language Processing
Informed source separation through spectrogram coding and data embedding
Signal Processing
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In this article, we introduce a novel approach for monaural source separation with the specific aim to separate a polyphonic musical recording into two main sources: a main instrument (or melody) track and an accompaniment track. To that aim, we propose to model the power spectral densities (PSDs) of both contributions with a source/filter model for the main instrument while retaining a model emphasizing temporal repetitions of the musical background. We show that improved source separation performances can be obtained by a two-step estimation strategy where the model parameters are re-estimated in a second stage by adequately exploiting the main melody line estimated in a first stage. The experiments conducted on several monaural signal databases show that our system achieves state-of-the-art performances compared to other unsupervised source separation algorithms.