On investigating efficient methodology for environmental sound recognition

Cruz Alfredo Ruiz-Martinez, Muhammad Tahir Akhtar, Yoshikazu Washizawa, Enrique Escamilla-Hernandez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

This paper presents a comparative study of various methods to identify the environmental sounds. We evaluate two methods for feature extraction: Mel Frequency Cepstral Coefficients (MFCC) which is well known for speaker identification, and Matching Pursuit (MP) with Gabor Dictionary which gives a time frequency representation employed for scene recognition. In the classification stage, we show a comparison among Support Vector Machines (SVM), Logistic Regression, and Backpropagation Artificial Neural Network (BP-ANN). Simulation results show that MFCC gives a higher recognition performance as compared with MP. Furthermore, by concatenating MFCC features with some feature of MP, e.g., scale, might also improve performance in some situations. We observe that SVM show the best performance among the classifiers, for clean as well noisy signals.

Original languageEnglish
Title of host publicationISPACS 2013 - 2013 International Symposium on Intelligent Signal Processing and Communication Systems
Pages210-214
Number of pages5
DOIs
Publication statusPublished - Dec 1 2013
Event2013 21st International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2013 - Naha, Okinawa, Japan
Duration: Nov 12 2013Nov 15 2013

Publication series

NameISPACS 2013 - 2013 International Symposium on Intelligent Signal Processing and Communication Systems

Conference

Conference2013 21st International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2013
CountryJapan
CityNaha, Okinawa
Period11/12/1311/15/13

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing

Fingerprint Dive into the research topics of 'On investigating efficient methodology for environmental sound recognition'. Together they form a unique fingerprint.

  • Cite this

    Ruiz-Martinez, C. A., Akhtar, M. T., Washizawa, Y., & Escamilla-Hernandez, E. (2013). On investigating efficient methodology for environmental sound recognition. In ISPACS 2013 - 2013 International Symposium on Intelligent Signal Processing and Communication Systems (pp. 210-214). [6704548] (ISPACS 2013 - 2013 International Symposium on Intelligent Signal Processing and Communication Systems). https://doi.org/10.1109/ISPACS.2013.6704548