A multi-timbre chord/harmony analyzer based on signal processing and neural networks

Zoia, Giorgio; Zhou, Ruohua; Mlynek, D.

doi:10.1109/mmsp.2004.1436532

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…For the estimation of multiple fundamental frequencies of concurrent musical sounds, one may refer to [10] while chord extraction is addressed e.g. in [11].…”

Section: B Melody Harmonymentioning

confidence: 99%

Automatic genre classification of music content: a survey

Scaringella

Zoia

Mlynek

2006

IEEE Signal Process. Mag.

Self Cite

260

152

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The creation of huge databases coming from both restoration of existing analog archives and new content is demanding more and more reliable and fast tools for content analysis and description, to be used for searches, content queries and interactive access. In that context, musical genres are crucial descriptors since they have been widely used for years to organize music catalogues, libraries and music stores. Despite their use, musical genres remain a poorly defined concept, which make of the automatic classification problem a non-trivial task. In this article, we review the state-of-theart in automatic genre classification and present new directions in automatic organization of music collections.

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“…For the estimation of multiple fundamental frequencies of concurrent musical sounds, one may refer to [10] while chord extraction is addressed e.g. in [11].…”

Section: B Melody Harmonymentioning

confidence: 99%

Automatic genre classification of music content: a survey

Scaringella

Zoia

Mlynek

2006

IEEE Signal Process. Mag.

Self Cite

260

152

View full text Add to dashboard Cite

show abstract

“…"The unique structure and information processing method of neural network make it have obvious advantages in many aspects and wide application fields. The main application fields include intelligent driving [3][4][5], process control and optimization [6][7][8][9], voice processing [10][11][12][13], signal processing [14][15][16][17], medical and health care, target detection [18][19][20] and so on".…”

Section: Review Articlementioning

confidence: 99%

Artificial Neural Network and Its Application in Image Recognition

Wang

Wang²

2023

JERR

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Computer vision technology refers to the technical vision that uses cameras and computers to replace human eyes to recognize, track and measure objects. Image recognition (image object recognition and detection) is one of its basic tasks. The key to accomplish this task is the artificial neural network model and algorithm. With the continuous improvement of neural network model, image object recognition technology has also been steadily improved. In this paper, the origin, types and development history of artificial neural network are introduced, and its application in image recognition is reviewed.

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A multi-timbre chord/harmony analyzer based on signal processing and neural networks

Cited by 2 publications

References 3 publications

Automatic genre classification of music content: a survey

Automatic genre classification of music content: a survey

Artificial Neural Network and Its Application in Image Recognition

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