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AES E-Library » Hierarchical Automatic Audio Signal ...
https://www.aes.org/e-lib/browse.cfm?elib=13015#:~:text=Hierarchical%20Automatic%20Audio%20Signal%20Classification%20The%20design%2C%20implementation%2C,speech%20classes%2C%2013%20musical%20genres%2C%20and%20background%20noise.
Hierarchical Automatic Audio Signal Classification*
https://musicinformatics.gatech.edu/wp-content_nondefault/uploads/2016/10/Burred-and-Lerch-2004-Hierarchical-Automatic-Audio-Signal-Classification.pdf
Hierarchical Automatic Audio Signal Classification* JUAN JOSE´ BURRED Communication Systems Group, Technical University Berlin, Berlin, Germany AND ALEXANDER LERCH, AES Member zplane.development, Berlin, Germany The design, implementation, and evaluation of a system for automatic audio signal clas-sification is presented.
(PDF) Hierarchical Automatic Audio Signal Classification
https://www.researchgate.net/publication/200054331_Hierarchical_Automatic_Audio_Signal_Classification
The design, implementation, and evaluation of a system for automatic audio signal classification is presented. The signals are classified according to …
AES E-Library » Hierarchical Automatic Audio Signal ...
https://www.aes.org/e-lib/browse.cfm?elib=13015
Hierarchical Automatic Audio Signal Classification The design, implementation, and evaluation of a system for automatic audio signal classification is presented. The signals are classified according to audio type, differentiating between three speech classes, 13 musical genres, and background noise.
(PDF) A hierarchical approach to automatic musical …
https://www.researchgate.net/publication/200124298_A_hierarchical_approach_to_automatic_musical_genre_classification
Hierarchical Automatic Audio Signal Classification. ... The design, implementation, and evaluation of a system for automatic audio signal classification is presented. The …
Real-time hierarchical classification of sound signals for ...
https://www.sciencedirect.com/science/article/pii/S0003682X17308162
Hierarchical sound signal classification. The hierarchical approach to classification of sound signals has been limited to a few studies in the literature. In , a hierarchical rule-based approach was developed to classify …
A HIERARCHICAL APPROACH TO AUTOMATIC MUSICAL …
https://www.jjburred.com/research/pdf/burred_lerch_dafx03.pdf
Proc. of the 6th Int. Conference on Digital Audio Effects (DAFx-03), London, UK, September 8-11, 2003 A HIERARCHICAL APPROACH TO AUTOMATIC MUSICAL GENRE CLASSIFICATION Juan Jose Burred´ Communication Systems Group Technical University Berlin, Germany
Comparative study of Classification of Audio Signals ...
https://www.semanticscholar.org/paper/Comparative-study-of-Classification-of-Audio-Desai-Patil/fa9b1d41a398adbdd40a997a779db0401f1283d7
The automatic classification of audio signals into an hierarchy of musical genres is explored and three feature sets for representing timbral texture, rhythmic content and pitch content are proposed. 2,596 PDF AUDIO SIGNAL CLASSIFICATION H. Subramanian, P. Rao, D. Roy Computer Science 2004 TLDR
Automatic Music Genre Classification Using a Hierarchical ...
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000005206888
Automatic music genre classification has received a lot of attention from the music information retrieval (MIR) community in the past years. Systems capable of discriminating music genres are essential for managing music databases. This paper presents a method for music genre classification based solely on the audio contents of the signal. The method relies on a …
Automatic modulation classification based on high order ...
https://www.sciencedirect.com/science/article/pii/S1874490716301094
Hierarchical polynomial classifiers High order cumulants Adaptive modulation 1. Introduction Automatic Modulation Classification (AMC) is the process of identifying the modulation type of the transmitted signal from the received data samples automatically [1]; it is an intermediate step between signal detection and demodulation [2].
A Survey of Evaluation in Music Genre Recognition - …
https://link.springer.com/chapter/10.1007%2F978-3-319-12093-5_2
Peeters, G.: Spectral and temporal periodicity representations of rhythm for the automatic classification of music audio signal. IEEE Trans. Audio Speech Lang. Process. 19(5), 1242–1252 (2011) Google Scholar
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