Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Fast CNN Pruning via Redundancy-Aware Training Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Automatic Treatment of Bird Audios by Means of String Compression Applied to Sound Clustering in Xeno-Canto Database

Authors : Guillermo Sarasa, Ana Granados, Francisco B. Rodriguez

Published in: Artificial Neural Networks and Machine Learning – ICANN 2018

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Compression distances can be a very useful tool in automatic object clustering because of their parameter-free nature. However, when they are used to compare very different-sized objects with a high percentage of noise, their behaviour might be unpredictable. In order to address this drawback, we have develop an automatic object segmentation methodology prior to the string-compression-based object clustering. Our experimental results using the xeno-canto database show that this methodology can be successfully applied to automatic bird species identification from their sounds. These results show that applying our methodology significantly improves the clustering performance of bird sounds compared to the performance obtained without applying our automatic object segmentation methodology.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Semantic Space Transformations for Cross-Lingual Document Classification
next chapter FROD: Fast and Robust Distance-Based Outlier Detection with Active-Inliers-Patterns in Data Streams
Literature
1.
Albornoz, E.M., Vignolo, L.D., Sarquis, J.A., Leon, E.: Automatic classification of Furnariidae species from the Paranaense Littoral region using speech-related features and machine learning. Ecol. Inform. 38, 39–49 (2017)CrossRef
2.
Borbely, R.S.: On normalized compression distance and large malware Towards a useful definition of normalized compression distance for the classification of large files. J. Comput. Virol. Hacking Tech. 12(4), 235–242 (2016)CrossRef
3.
4.
5.
Cohen, A., Bjornsson, C., Temple, S., Banker, G., Roysam, B.: Automatic summarization of changes in biological image sequences using algorithmic information theory. IEEE Trans. Pattern Anal. Mach. Intell. 31(8), 1386–1403 (2009)CrossRef
6.
Cui, S., Datcu, M.: A comparison of Bag-of-Words method and normalized compression distance for satellite image retrieval. In: 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 4392–4395, July 2015
7.
Granados, A., Cebrian, M., Camacho, D., de Borja Rodriguez, F.: Reducing the loss of information through annealing text distortion. IEEE Trans. Knowl. Data Eng. 23(7), 1090–1102 (2011)CrossRef
8.
Granados, A., Koroutchev, K., de Borja Rodriguez, F.: Discovering data set nature through algorithmic clustering based on string compression. IEEE Trans. Knowl. Data Eng. 27(3), 699–711 (2015)CrossRef
9.
Granados, A., Martnez, R., Camacho, D., de Borja Rodriguez, F.: Improving NCD accuracy by combining document segmentation and document distortion. Knowl. Inf. Syst. 41(1), 223–245 (2014)CrossRef
10.
Li, M., Chen, X., Li, X., Ma, B., Vitanyi, P.: The similarity metric. IEEE Trans. Inf. Theory 50(12), 3250–3264 (2004)MathSciNetCrossRef
11.
Livezey, K.: An approach to identifying bird songs: a key to more than 300 songs in the pipeline road area, Soberana National Park, Panama. Open Ornithol. J. 9(1), 70–112 (2016)CrossRef
12.
Marini, A., Turatti, A.J., Britto, A.S., Koerich, A.L.: Visual and acoustic identification of bird species. In: 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2309–2313, April 2015
13.
14.
Rousseeuw, P.J.: Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J. Comput. Appl. Math. 20, 53–65 (1987)CrossRef
15.
Sarasa, G., Granados, A., Rodriguez, F.B.: An approach of algorithmic clustering based on string compression to identify bird songs species in Xeno-Canto database. In: 2017 3rd International Conference on Frontiers of Signal Processing (ICFSP), pp. 101–104, September 2017
16.
Metadata
Title
Automatic Treatment of Bird Audios by Means of String Compression Applied to Sound Clustering in Xeno-Canto Database
Authors
Guillermo Sarasa
Ana Granados
Francisco B. Rodriguez
Copyright Year
2018
Book
Artificial Neural Networks and Machine Learning – ICANN 2018

Print ISBN: 978-3-030-01417-9

Electronic ISBN: 978-3-030-01418-6

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-030-01418-6_61

Premium Partner

    Image Credits