Results 71 to 80 of about 5,794,161 (178)
Musical instrument sound source separation
The structured arrangement of sounds in musical pieces, results in the unique creation of complex acoustic mixtures. The analysis of these mixtures, with the objective of estimating the individual sounds which constitute them, is known as musical instrument sound source separation, and has applications in audio coding, audio restoration, music ...
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We propose a knowledge-driven, model-based approach to segmenting audio into single-category and mixed-category chunks with applications to source separation. "Knowledge" here denotes information associated with the data, such as music scores. "Model" here refers to tool that can be used for audio segmentation and recognition, such as hidden Markov ...
Chun-Wei Ho +3 more
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This is the author's accepted pre-print of the article, first published as M. D. Plumbley, A. Cichocki and R. Bro. Non-negative mixtures. In P. Comon and C. Jutten (Ed), Handbook of Blind Source Separation: Independent Component Analysis and Applications.
M. D. Plumbley +9 more
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“Hands-separated practice followed by hands-together integration” is a long-established pedagogical paradigm for the accordion and other keyboard instruments.
Chen Wu, Huan Cheng, Jiaxiang Zheng
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Score-Informed Source Separation for Music Signals
In recent years, the processing of audio recordings by exploiting additional musical knowledge has turned out to be a promising research direction. In particular, additional note information as specified by a musical score or a MIDI file has been employed to support various audio processing tasks such as source separation, audio parameterization ...
Ewert, Sebastian, Müller, Meinard
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This paper focuses on solving a challenging speech enhancement problem: improving the desired speech from a single-channel audio signal containing high-level unspecified noise (possibly environmental noise, music, other sounds, etc.).
Thanh Thi Hien Duong +2 more
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Musical source separation using time-frequency source priors [PDF]
This article deals with the source separation problem for stereo musical mixtures using prior information about the sources (instrument names and localization). After a brief review of existing methods, we design a family of probabilistic mixture generative models combining modified positive Independent Subspace Analysis (ISA), localization models and ...
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In this paper, statistical-model generalizations of independent low-rank matrix analysis (ILRMA) are proposed for achieving high-quality blind source separation (BSS). BSS is a crucial problem in realizing many audio applications, where the audio sources
Daichi Kitamura +7 more
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Improved Audio Separation Using U-Net and ICA [PDF]
This paper introduces UNetICA, an innovative hybrid model for audio source separation that integrates the strengths of U-Net and Independent Component Analysis (ICA).
Gupta Vagisha, Seeja K.R
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Recent advances in automatic music transcription have facilitated the creation of large databases of symbolic transcriptions of improvised music forms including jazz, where traditional notated scores are not normally available.
Huw Cheston +3 more
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