Results 61 to 70 of about 5,794,161 (178)
A Wavenet For Music Source Separation
, 2018 Currently, most successful source separation techniques use magnitude spectrograms as input, and are therefore by default discarding part of the signal: the phase. In order to avoid discarding potentially useful information, we propose an end-to-end learning model based on Wavenet for music source separation.
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A Study of Transfer Learning in Music Source Separation
CoRR, 2020 Supervised deep learning methods for performing audio source separation can be very effective in domains where there is a large amount of training data. While some music domains have enough data suitable for training a separation system, such as rock and pop genres, many musical domains do not, such as classical music, choral music, and non-Western ...
Andreas Bugler +2 more
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Saraga: Open Datasets for Research on Indian Art Music
Empirical Musicology Review, 2021 We introduce two large open data collections of Indian Art Music, both its Carnatic and Hindustani traditions, comprising audio from vocal concerts, editorial metadata, and time-aligned melody, rhythm, and structure annotations.
Ajay Srinivasamurthy +3 more
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MUSIC REMIXING AND UPMIXING USING SOURCE SEPARATION [PDF]
, 2016 Current research on audio source separation provides tools to estimate the signals contributed by different instruments in polyphonic music mixtures. Such tools can be already incorporated in music production and post-production workflows. In this paper,
Grais, Emad M +3 more
core
Improved Separation of Polyphonic Chamber Music Signals by Integrating Instrument Activity Labels
IEEE Access, 2023 The separation of music signals is a very challenging task, especially in case of polyphonic chamber music signals because of the similar frequency ranges and sound characteristics of the different instruments to separate.
Markus Schwabe, Michael Heizmann
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Voice separation in polyphonic music: A data-driven approach [PDF]
, 2008 Much polyphonic music is constructed from several melodiclines - known as voices - woven together. Identifyingthese constituent voices is useful for musicological analysisand music information retrieval; however, this voiceidentificationprocess is time ...
Anna Jordanous +3 more
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Sparse and shift-invariant representations of music
, 2006 Redundancy reduction has been proposed as the main computational process in the primary sensory pathways in the mammalian brain. This idea has led to the development of sparse coding techniques, which are exploited in this article to extract salient ...
Mike Davies +3 more
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Bayesian modelling of music : algorithmic advances and experimental studies of shift-invariant sparse coding [PDF]
, 2005 PhDIn order to perform many signal processing tasks such as classification, pattern recognition and coding, it is helpful to specify a signal model in terms of meaningful signal structures.
Blumensath, Thomas
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Score-informed source separation of choral music
, 2020 Choral music recordings are a particularly challenging target for source separation due to the choral blend and the inherent acoustical complexity of the 'choral timbre'. Due to the scarcity of publicly available multi-track choir recordings, we create a dataset of synthesized Bach chorales. We apply data augmentation to alter the chorales so that they
Matan Gover, Philippe Depalle
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MSS+: Enhancing Lightweight Music Source Separation Outputs via GAN-Based Post-Processing
IEEE AccessMusic Source Separation (MSS) aims to extract individual stems such as vocals, bass, and drums from a mixed audio signal. Although state-of-the-art MSS systems achieve high audio separation quality, they typically require substantial computational ...
Zaid Zarifur Rahman +4 more
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