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Audio genre classification using percussive pattern clustering combined with timbral features
2009
2009 IEEE International Conference on Multimedia and Expo
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Experimental results show that the automatically calculated rhythmic pattern information can be used to effectively classify musical genre/style and improve upon current approaches based on timbral features ...
In most automatic genre classification systems global statistical features based on timbral dynamics such as Mel-Frequency Cepstral Coefficients (MFCC) are utilized but so far rhythmic information has ...
We used Ono's method to extract percussive components from audio signals and clustered percussive patterns using a combination of one-pass DP and k-means clustering algorithm. ...
doi:10.1109/icme.2009.5202514
dblp:conf/icmcs/TsunooTOS09
fatcat:ki4jibflg5b73a5ehhcn7oi3d4
Musical Bass-Line Pattern Clustering And Its Application To Audio Genre Classification
2009
Zenodo
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ACKNOWLEDGMENTS The authors thank George Tzanetakis for sharing his dataset and some useful experimental discussions with us. ...
In previous research, timbral features, rhythmic features and pitch features have been used for audio genre classification [1] . ...
Combination with other features like percussive pattern can be done to improve further genre classification as well. Figure 1 . 1 Figure 1. The flow diagram of the system.
Figure 2 . 2 Figure 2. ...
doi:10.5281/zenodo.1417141
fatcat:lvpsdgkrdvbb7isv43s7avqkym
Music mood classification by rhythm and bass-line unit pattern analysis
2010
2010 IEEE International Conference on Acoustics, Speech and Signal Processing
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We have proposed the extraction of rhythm and bass-line patterns, and these unit pattern analysis are combined with statistical feature extraction for mood classification. ...
In this task the timbral information has been widely used, however many musical moods are characterized not only by timbral information but also by musical scale and temporal features such as rhythm patterns ...
In previous research, timbral features, rhythmic features and pitch features have been used for audio genre classification [4] , and this sort of feature extraction is widely used in audio classification ...
doi:10.1109/icassp.2010.5495964
dblp:conf/icassp/TsunooAOS10
fatcat:j5xfcyxmevccfo7xzpqfw52veq
Detecting and Describing Percussive Events in Polyphonic Music
2008
Zenodo
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Finally we present 17 mid-level percussion descriptors and evaluate their usefulness among MIR tasks like genre classification, danceability estimation and Western non-Western discrimination. ...
The present thesis deals with the automatic description of percussive events in "real world" polyphonic music. ...
percussion descriptors combined with tonal features,. ...
doi:10.5281/zenodo.3744770
fatcat:ygwpor72vzdelk5jelzmlb7j2y
Towards Characterisation Of Music Via Rhythmic Patterns
2004
Zenodo
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ACKNOWLEDGEMENTS This work was funded by the EU-FP6-IST-507142 project SIMAC (Semantic Interaction with Music Audio Contents). ...
Since the tempo is one the most important features in determining dance genre [7, 12] , we tested classification with a combination of the rhythmic patterns, 3 . ...
Table 2 . 2 Genre classification results using the rhythmic patterns alone as feature vectors. ...
doi:10.5281/zenodo.1416220
fatcat:wbo6yq6mwngkfcgg6ltqn72pxi
A computational study on outliers in world music
2017
PLoS ONE
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We use signal processing tools to extract music information from audio recordings, data mining to quantify similarity and detect outliers, and spatial statistics to account for geographical correlation ...
With the advances of Music Information Retrieval and the increased accessibility of sound archives, large-scale analysis of world music with computational tools is today feasible. ...
Other corpus analysis studies have focused on the automatic classification of music by genre [25] [26] [27] via the combination of different audio features. ...
doi:10.1371/journal.pone.0189399
pmid:29253027
pmcid:PMC5734747
fatcat:7dhbkgtfy5fevj2tyu3goged24
On the suitability of state-of-the-art music information retrieval methods for analyzing, categorizing and accessing non-Western and ethnic music collections
2010
Signal Processing
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In this work we analyze the performance of a range of automatic audio description algorithms on three music databases with distinct characteristics, specifically a Western music collection used previously ...
The study quantitatively shows the advantages and shortcomings of different feature representations extracted from music on the basis of classification tasks, and presents an approach to visualize, access ...
Breno Moiana for his invaluable help with the experiment infrastructure. We thank the reviewers of this article for helping to improve it through their thorough review. ...
doi:10.1016/j.sigpro.2009.09.014
fatcat:lbqb2ilhbngkbbb57monxdobdu
The evolution of popular music: USA 1960-2010
2015
Royal Society Open Science
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We also examine the usage patterns of chords and lyrics in different musical genres, historical eras, and geographical regions. ...
Motivated by the idea that the emotional content of chords is reflected in the words used in corresponding lyrics, we analyze associations between lyrics and chord categories. ...
We thank the public participants in this study; Austin Burt, Katy Noland and Peter Foster for comments on the manuscript; Last.fm for musical samples; Queen Mary University of London for the use of high-performance ...
doi:10.1098/rsos.150081
pmid:26064663
pmcid:PMC4453253
fatcat:xmfvaqzlszaw7bxuumppzwvn6q
Rhythmic arrangement from finger-tapping audio signals
2016
Zenodo
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We achieved a 99% of accuracy in recognizing drumming expertise levels (expert vs. nave) by means of using onset-related acoustic features. ...
Further analysis of the survey answers and several spectro-temporal features extracted from the audio content allowed to infer meaningful information about this behavior. ...
for music genre classification. ...
doi:10.5281/zenodo.3755587
fatcat:w4pcnbg7tfhuxatwvjner24mei
Music of the 7Ts: Predicting and Decoding Multivoxel fMRI Responses with Acoustic, Schematic, and Categorical Music Features
2017
Frontiers in Psychology
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Genre model misclassifications were significantly correlated with those in a corresponding behavioral music categorization task, supporting the hypothesis that geometric properties of multivoxel pattern ...
Our first analysis applied machine classification to the multivoxel patterns that were evoked in temporal cortex. ...
(Right) Audio chromagram features (absolute pitch) for the same stimulus automatically extracted using the Essentia audio feature extraction toolkit in Python. ...
doi:10.3389/fpsyg.2017.01179
pmid:28769835
pmcid:PMC5509941
fatcat:p6pxuejglnanllz2tzzrfldeyu
Discovery of Percussion Patterns from Tabla Solo Recordings
2015
Zenodo
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We propose approaches for automatic discovery of percussion patterns from audio recordings of tabla solos. ...
This thesis aims to explore the problem of percussion pattern discovery in Indian art music specific to Hindustani music. ...
These are reduced using Principal Component Analysis (PCA). Using these features, four different classification techniques are used. ...
doi:10.5281/zenodo.3726960
fatcat:tii6t7iwvjczdihx6vrkp7sk4y
Detection of genre-specific musical instruments: The case of the mellotron
2011
Zenodo
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from polyphonic audio data) using extensive datasets. ...
For accomplishing this task a novel methodology is presented, based on the idea that it is possible to train classifiers with audio descriptors (temporally integrated from the raw feature values extracted ...
The default Essentia Extractor was used, which extracts pretty much all features useful for audio similarity. ...
doi:10.5281/zenodo.3754071
fatcat:b3mamyhnwrdjjbsqnceew55mse
Estimation Of Vocal Duration In Monaural Mixtures
2014
Proceedings of the SMC Conferences
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We wish to thank Derry FitzGerald for kindly providing source code and Emilia Gómez for introducing us to Melodia during the summer school. ...
These features were compared with the timbral features and sound level of the instrumental tracks. ...
Timbral It is plausible that timbral features of the source separated vocal track can be used to identify the presence of singing. ...
doi:10.5281/zenodo.850804
fatcat:tlgwm4entbhf3oefdpexzxrdty
Drum Samples Retrieval By High-Level Descriptors
2017
Zenodo
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In this thesis, one of these systems has been created using classification techniques, by the application of learning algorithms and audio feature selections on two datasets. ...
Combining these models with an annotation of our datasets with specific values of audio high-level descriptors (Brightness, Hardness, Roughness and Depth), a drum samples retrieval tool could be created ...
It has been proven to be useful for genre classification. Besides the relevance of OBSC descriptor, two more spectral low-level features has been found as important. ...
doi:10.5281/zenodo.1112352
fatcat:lwpwvycdobhm5j6ql4h5od64qi
Real-Time Hit Classification in a Smart Cajón
2018
Frontiers in ICT
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A conventional acoustic cajón was enhanced with sensors to classify position of the hit and the gesture that produced it. ...
The instrument was equipped with five piezo pickups attached to the internal panels and a condenser microphone located inside. ...
INTRODUCTION The cajón is a cuboid-shaped percussion instrument originally from Peru, which has recently become widely used worldwide and across various musical genres (Tompkins, 2007) . ...
doi:10.3389/fict.2018.00016
fatcat:bcxwnrkvubguxe5f5dawvrurmi
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