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Musical Audio Analysis using Sparse Representations

    https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.61.271&rep=rep1&type=pdf
    Musical Audio Analysis using Sparse Representations 3 to give ˆs = A†x [14]. If the number of source components is more than the number of observations, n > m, then we have an overcomplete system. In this case, and if A has full rank m, there is a whole (n−m)-dimensional subspace of possible solution vectors s which solve x = As.

(PDF) Musical audio analysis using sparse …

    https://www.academia.edu/6109625/Musical_audio_analysis_using_sparse_representations
    Sparse representations are becoming an increasingly useful tool in the analysis of musical audio signals. In this paper we will given an overview of work by ourselves and others in this area, to give a flavour of the work being undertaken, and to

Musical audio analysis using sparse representations ...

    https://link.springer.com/chapter/10.1007/978-3-7908-1709-6_9
    Sparse representations are becoming an increasingly useful tool in the analysis of musical audio signals. In this paper we will given an overview of work by ourselves and others in this area, to give a flavour of the work being undertaken, and to give some pointers for further information about this interesting and challenging research topic.

(PDF) Musical audio analysis using sparse representations

    https://www.researchgate.net/publication/226210811_Musical_audio_analysis_using_sparse_representations
    Musical Audio Analysis using Sparse Representations 9 and time domain SISC methods result in ‘pitch groups’ of several dictionary atoms corresponding to any given note.

Musical Audio Analysis Using Sparse Representations …

    https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.271
    BibTeX @MISC{Plumbley06musicalaudio, author = {M. D. Plumbley and S. A. Abdallah and T. Blumensath and M. G. Jafari and A. Nesbit and E. Vincent and B. Wang}, title = {Musical Audio Analysis Using Sparse Representations}, year = {2006}}

Audio analysis using sparse representations.

    https://asa.scitation.org/doi/10.1121/1.4783108
    Some of the key concepts in sparse representations will be introduced, including algorithms to find sparse representations of data. An overview of some applications of sparse representations in audio will be described, including for automatic music transcription and audio source separation, and pointers will be given for possible future directions in this area.

(PDF) Audio analysis using sparse representations.

    https://www.researchgate.net/publication/23638823_Audio_analysis_using_sparse_representations
    Musical Audio Analysis using Sparse Representations 3. ... Musical Audio Analysis using Sparse Representations 11. 2. S. A. Abdallah and M. D. Plumbley. …

Audio analysis using sparse representations.: The Journal ...

    https://asa.scitation.org/doi/full/10.1121/1.4783108
    The method of “sparse representations,” based on the idea that observations should be represented by only a few items chosen from a large number of possible items, has emerged recently as an interesting approach to the analysis of images and audio.

Sparse Representations in Audio and Music: from Coding to ...

    https://hal.inria.fr/inria-00489524/file/2010_ProcIEEE_PlumbleyEtAl_AuthorVersion.pdf
    Representations of an audio signal in (a) a single MDCT basis, and (b) a union of eight MDCT bases with different window sizes (“8*MDCT”). C. Recovering sparse representations To find a sparse representation when the system is underde- termined is not quite so straightforward as for the square and invertible case.

Sparse Representations in Audio and Music: From Coding …

    https://ieeexplore.ieee.org/abstract/document/5332363/
    In this paper we give an overview of a number of current and emerging applications of sparse representations in areas from audio coding, audio enhancement and music transcription to blind source separation solutions …

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