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A robust harmony structure modeling scheme for classical music opus identification

Samuel Kim, Panayiotis G. Georgiou, Shrikanth Narayanan
2009 2009 IEEE International Conference on Acoustics, Speech and Signal Processing  
The harmony structure is extracted directly from a music audio signal using a second-order statistic of chroma feature vectors.  ...  The method is experimentally shown to be robust against the degradation of chroma feature vectors due to noisy pitch estimation in our classical music opus identification evaluation.  ...  These quantized quantities are usually called chroma feature vectors, and are widely used in music audio processing.  ... 
doi:10.1109/icassp.2009.4959995 dblp:conf/icassp/KimGN09 fatcat:pbhaa7ysfzd35dvgvasbvrogiy

Combining Chroma Features For Cover Version Identification

Teppo E. Ahonen
2010 Zenodo  
CHROMA FEATURES The chromagram seems to be the only valid feature to be used for cover version identification.  ...  A similar approach was utilized in [21] , where correlation between adjacent chroma vectors was used as a feature in identification.  ... 
doi:10.5281/zenodo.1414765 fatcat:uqqj4dpaiberbjwli7mz7msjui

A Music Identification System Based On Chroma Indexing And Statistical Modeling

Riccardo Miotto, Nicola Orio
2008 Zenodo  
European Commission under IST FP6 (Sixth Framework Programme, Contract no. 45128), and by the project "Analysis, design, and development of novel methodologies for the study and the dissemination of music  ...  CHROMA-BASED DESCRIPTION Chroma features have been extensively used in a number of music retrieval applications.  ...  Another application of chroma features to an identification task, this time on pop music, has been proposed in [12] where chroma features of the query song and the songs in the database are aligned using  ... 
doi:10.5281/zenodo.1415254 fatcat:nyvflgofijhpbmdghf3tkhscsm

Audio Content-Based Music Retrieval

Peter Grosche, Meinard Müller, Joan Serrà, Marc Herbstritt
2012 Dagstuhl Publications  
Using a classification scheme based on specificity and granularity, we identify various classes of retrieval scenarios, which comprise audio identification, audio matching, and version identification.  ...  The rapidly growing corpus of digital audio material requires novel retrieval strategies for exploring large music collections.  ...  (d) Spectrogram with frequency axis corresponding to musical pitches. (e) Chroma features. (f) Normalized chroma features. (g) Smoothed version of chroma features, see also [36] .  ... 
doi:10.4230/dfu.vol3.11041.157 dblp:conf/dagstuhl/GroscheMS12 fatcat:ig3p6d4ukrggpeod2altxt4iuy

PCA summarization for audio song identification using Gaussian Mixture models

Vaia Panagiotou, Nikolaos Mitianoudis
2013 2013 18th International Conference on Digital Signal Processing (DSP)  
features (∆chroma).  ...  Furthermore, the fingerprints prove to be quite robust against various common distortions, while by using non-distorted test song segments of 10 seconds, the system achieves high identification rates.  ...  This choice was shown to be optimal in our experiments. 2) Chroma: Chroma features, also called pitch class profile (PCP), have been already used in several music retrieval applications.  ... 
doi:10.1109/icdsp.2013.6622803 dblp:conf/icdsp/PanagiotouM13 fatcat:pmeigjiidnejpimut5x7dov6tm

Towards Timbre-Invariant Audio Features for Harmony-Based Music

Meinard Muller, Sebastian Ewert
2010 IEEE Transactions on Audio, Speech, and Language Processing  
Experiments We compared our CRP features to conventional chroma features using an application referred to as audio matching: given a short query audio clip, the goal is to automatically retrieve all musically  ...  As the diagram indicates, one obtains much better PR-values using CRP features than in the case of conventional chroma features.  ... 
doi:10.1109/tasl.2010.2041394 fatcat:k4vjhnvuajarrhrhzdym7tw7qa

Music tonality features for speech/music discrimination

Gregory Sell, Pascal Clark
2014 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
We introduce a novel set of features for speech/music discrimination derived from chroma vectors, a feature that represents musical tonality.  ...  These features are shown to outperform other commonly used features in multiple conditions and corpora.  ...  We will introduce a new feature set for speech/music classification based on pitch class profiles or chroma vectors, a feature typically used in music tonality tasks such as chord or key identification  ... 
doi:10.1109/icassp.2014.6854048 dblp:conf/icassp/SellC14 fatcat:g22jq3n3jrh45fiisattpsp5ku

Optimized Identification Method for Digital Music Pieces in BitTorrent

Xun Jin, Jongweon Kim
2015 International Journal of Multimedia and Ubiquitous Engineering  
In this paper, we propose a methodology for identification of MP3 audio pieces downloaded by BitTorrent client program using cross-correlation of 12 chroma features extracted from audio signal.  ...  The experimental results show probabilities of successfully identification of the pieces with different piece properties, comparisons between the proposed algorithms and conventional algorithm in terms  ...  Conventional Identification Algorithm Useful musical information can be obtained from the distribution of chroma even without the absolute frequency.  ... 
doi:10.14257/ijmue.2015.10.1.8 fatcat:r24vsnu4hng6rpxbz3op26je3q

Timbre-Invariant Audio Features For Style Analysis Of Classical Music

Christof Weiss, Matthias Mauch, Simon Dixon
2014 Proceedings of the SMC Conferences  
In [8] , chord profiles have been used for composer style identification. A similar task has been performed in [9] relying on high level interval-based features.  ...  Van Kranenburg has evaluated different composer identification tasks on score [10] and MIDI data [11] using interval-and pitchrelated features as style markers.  ... 
doi:10.5281/zenodo.850893 fatcat:z2tfjkzjtbd6bml565zjjejpsm

Cover Song Identification With Timbral Shape Sequences

Christopher J. Tralie, Paul Bendich
2015 Zenodo  
Most prior approaches have used Chroma-based features averaged over intervals.  ...  Hence, low level features used in this task need to be robust to all of these phenomena, ruling out raw forms of popular features such as MFCC, CQT, and Chroma.  ... 
doi:10.5281/zenodo.1416824 fatcat:q4pucwlylbdpxk6cftzqe3p5c4

Cover Song Recognition Using Machine Learning Techniques

Andree Silva-Reyes, Fabiola Martínez-Licona, Alma Martínez Licona
2018 Research in Computing Science  
Acoustic features such as pitches and timbres, as well as beat information of the cover songs were obtained from the Million Song, a metadata database oriented to music information retrieval.  ...  According to the results, a system that integrates a frequency processing on the pitches with beat alignment, a sparse codification and a clustering technique was obtained with correct cover identification  ...  Van Balen et al use three descriptors to content-based music recovery: pitch bihistogram, Chroma correlation coefficients and harmonization features [16] .  ... 
doi:10.13053/rcs-147-4-1 fatcat:jn3fniknxzeermocj5masfgs5q

Chroma Binary Similarity and Local Alignment Applied to Cover Song Identification

J. Serra, E. Gomez, P. Herrera, X. Serra
2008 IEEE Transactions on Audio, Speech, and Language Processing  
Cover song identification is a task whose popularity has increased in the music information retrieval (MIR) community along in the past, as it provides a direct and objective way to evaluate music similarity  ...  ., different performances of the same underlying musical piece).  ...  ACKNOWLEDGMENT The authors would like to thank their colleagues and staff at the Music Technology Group (UPF) for their support and encouragement, especially G.  ... 
doi:10.1109/tasl.2008.924595 fatcat:cdfa4tu42zc3veqchoffa4obze

Identification of cover songs using information theoretic measures of similarity

Peter Foster, Simon Dixon, Anssi Klapuri
2013 2013 IEEE International Conference on Acoustics, Speech and Signal Processing  
We evaluate our methods on two cover song identification tasks using a data set comprised of 300 Jazz standards and using the Million Song Dataset.  ...  Using a large-scale filter-and-refine approach, we demonstrate state-of-the-art performance for cover song identification using the Million Song Dataset.  ...  the tonal content using chroma features [35] , [36] .  ... 
doi:10.1109/icassp.2013.6637746 dblp:conf/icassp/FosterDK13 fatcat:f3pqs666ejawvg3gppvo7fpqyq

Blast For Audio Sequences Alignment: A Fast Scalable Cover Identification Tool

Benjamin Martin 0001, Daniel G. Brown 0001, Pierre Hanna, Pascal Ferraro
2012 Zenodo  
In MSD, chroma features were computed using The EchoNest API 5 , and consist of segment-synchronized 12-dimensional chroma features, as described in [11] .  ...  Pitch Class Profiles (PCP), also known as chroma features, are frequently used to describe these types of information.  ... 
doi:10.5281/zenodo.1417686 fatcat:2vv62azxtvb7vldkw4umm6d2iq

Partial Identification Analysis for MP3 Music

Xun Jin, Jong Weon Kim
2014 Journal of Advances in Computer Networks  
The audio identification algorithm is made up of beat tracking and chroma features.  ...  With the advent of BitTorrent protocol, internet users can easily share their movie and music files.  ...  Chroma Features Useful musical information can be obtained from the distribution of chroma even without the absolute frequency.  ... 
doi:10.7763/jacn.2014.v2.101 fatcat:h37i5jax5zdm7emnbvc4m2x25m
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