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Musical Instrument Recognition in Polyphonic Audio Using ...
https://www.researchgate.net/publication/260697880_Musical_Instrument_Recognition_in_Polyphonic_Audio_Using_Missing_Feature_Approach#:~:text=A%20method%20is%20described%20for%20musical%20instrument%20recognition,based%20on%20local%20spectral%20features%20and%20missing-feature%20techniques.
MUSICAL INSTRUMENT RECOGNITION IN POLYPHONIC …
https://homepages.tuni.fi/toni.heittola/pubs/ismir09-heittola.pdf
ment recognition in polyphonic audio signals by using a source-filter model and an augmented non-negative matrix factorization algorithm for sound separation. The mixture signal is decomposed into a sum of spectral bases modeled as a product of excitations and filters. The excitations are restricted to harmonic spectra and their fundamental fre-
MUSICAL INSTRUMENT RECOGNITION IN POLYPHONIC …
https://ismir2009.ismir.net/proceedings/OS3-2.pdf
ment recognition in polyphonic audio signals by using a source-lter model and an augmented non-negative matrix factorization algorithm for sound separation. The mixture signal is decomposed into a sum of spectral bases modeled as a product of excitations and lters. The excitations are restricted to harmonic spectra and their fundamental fre-
(PDF) Musical Instrument Recognition in Polyphonic …
https://www.academia.edu/21858073/Musical_Instrument_Recognition_in_Polyphonic_Audio_Using_Missing_Feature_Approach
Instrument recognition systems based on the decomposi- In polyphonic mixtures consisting of multiple instru- tion obtained with ICA have extracted the features from ments, the interference of simultaneously occurring sounds the estimated spectral basis vectors [9] or from the recon- is likely to limit the recognition performance.
Musical Instrument Recognition in Polyphonic Audio …
https://homepages.tuni.fi/toni.heittola/ismir09/index
Abstract The paper proposes a novel approach to musical instrument recognition in polyphonic audio signals by using a source-filter model and an augmented non-negative matrix factorization algorithm for sound separation. The mixture signal is decomposed into a sum of spectral bases modeled as a product of excitations and filters.
Musical Instrument Recognition in Polyphonic Audio …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.205.9429
Abstract This paper proposes a novel approach to musical instrument recognition in polyphonic audio signals by using a source-filter model and an augmented non-negative matrix factorization algorithm for sound separation. The mixture signal is decomposed into a sum of spectral bases modeled as a product of excitations and filters.
Musical Instrument Recognition in Polyphonic Audio …
https://www.researchgate.net/publication/260697880_Musical_Instrument_Recognition_in_Polyphonic_Audio_Using_Missing_Feature_Approach
A method is described for musical instrument recognition in polyphonic audio signals where several sound sources are active at the same time. The proposed method is based on local spectral features...
Instrument Recognition in Polyphonic Mixtures Using ...
https://www.hajim.rochester.edu/ece/~zduan/teaching/ece477/projects/2015/Jay_Biernat_ReportFinal.pdf
Instrument recognition in polyphonic music is a difficult task in computer audition. Many current methods ap-proach this problem by first attempting to separate the timbre features among the sources present in the mixture using source separation, multi-pitch estimation, or note-onset techniques. Instrument (timbre) recognition then
(PDF) Musical Instrument Recognition in Polyphonic …
https://www.researchgate.net/publication/220723588_Musical_Instrument_Recognition_in_Polyphonic_Audio_Using_Source-Filter_Model_for_Sound_Separation
Abstract This paper proposes a novel approach to musical instru- ment recognition in polyphonic audio signals by using a source-filter model and an augmented non …
Real-Time monophonic and polyphonic audio …
https://www.sciencedirect.com/science/article/pii/S0031320319301244
The proposed method, called RARE (for Real-time Audio Recognition Engine) reveals encouraging results both in monophonic and polyphonic classification tasks on benchmark and owned datasets, including also the targeted real-time situation.
AUTOMATIC INSTRUMENT RECOGNITION IN A POLYPHONIC …
https://citeseer.ist.psu.edu/showciting?doi=10.1.1.118.6827
We present and compare several models for automatic identification of instrument classes in polyphonic and poly-instrument audio. The goal is to be able to identify which categories of instrument (Strings, Woodwind, Guitar, Piano, etc.) are present in a given audio example. We use a machine learning approach to solve this task.
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