Results 51 to 60 of about 5,794,161 (178)
Sparse pursuit and dictionary learning for blind source separation in polyphonic music recordings
EURASIP Journal on Audio, Speech, and Music Processing, 2021 We propose an algorithm for the blind separation of single-channel audio signals. It is based on a parametric model that describes the spectral properties of the sounds of musical instruments independently of pitch.
Sören Schulze, Emily J. King
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Source Separation & Automatic Transcription for Music
CoRRSource separation is the process of isolating individual sounds in an auditory mixture of multiple sounds [1], and has a variety of applications ranging from speech enhancement and lyric transcription [2] to digital audio production for music. Furthermore, Automatic Music Transcription (AMT) is the process of converting raw music audio into sheet music
Bradford Derby +4 more
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Frontiers in Neuroscience, 2020 A cochlear implant (CI) is a surgically implanted electronic device that partially restores hearing to people suffering from profound hearing loss.
Sina Tahmasebi +2 more
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Chinese instrument music source separation with frequency-attentive multi-band neural networks
EURASIP Journal on Audio, Speech, and Music ProcessingRecent progress in music source separation has been accelerated by deep learning techniques, yet most studies have focused on Western instruments and vocals, with limited attention to traditional Chinese instruments. These instruments possess distinctive
Jiaxiang Zheng, Moxi Cao, Chongbin Zhang
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How Far Can a U-Net Go? An Empirical Analysis of Music Source Separation Performance
Applied SciencesMusic source separation (MSS) focuses on decomposing a mixed audio signal into individual instrumental components and is increasingly relevant for music production, restoration, remixing, education, and music information retrieval. Deep learning methods,
Daniel Kostrzewa +4 more
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Musical Source Separation of Brazilian Percussion
CoRR2 pages + references, 1 figure, 1 table, Extended Abstracts for the Late-Breaking Demo Session of the 25th International Society for Music Information Retrieval ...
Richa Namballa +2 more
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Archives of AcousticsAudio source separation refers to the procedure of decomposing a mixed audio signal into its constituent components. This technique enables numerous applications, including creative music production, educational tools, karaoke, transcription, and music ...
Shunmugalingam Parvathi Sakthidevi +1 more
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On the use of the beta divergence for musical source separation
IET Irish Signals and Systems Conference (ISSC 2009), 2009 Non-negative Tensor Factorisation based methods have found use in the context of musical sound source separation. These techniques require the use of a suitable cost function to determine the optimal factorisation, and most work has focused on the use of the generalised Kullback-Liebler divergence, and more recently the Itakura-Saito divergence.
Fitzgerald, Derry +2 more
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Embracing Cacophony: Explaining and Improving Random Mixing in Music Source Separation
IEEE Open Journal of Signal ProcessingIn music source separation, a standard data augmentation technique involves creating new training examples by randomly combining instrument stems from different songs.
Chang-Bin Jeon +3 more
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IEEE Access, 2022 The music source separation problem, where the task at hand is to estimate the audio components that are present in a mixture, has been at the centre of research activity for a long time. In more recent frameworks, the problem is tackled by creating deep
Thomas Sgouros +2 more
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