Acoustic data classification using random forest algorithm and feed forward neural network

  • Abstract
  • Keywords
  • References
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  • Abstract

    Speaker identification systems are designed to recognize the speaker or set of speakers according to their acoustic analysis. Many approach-es are made to perform the acoustic analysis in the speech signal, the general description of those systems is time and frequency domain analysis. In this paper, acoustic information is extracted from the speech signals using MFCC and Fundamental Frequency methods combi-nation. The results are classified using two different algorithms such as Random-forest and Feed Forward Neural Network. The FFNN classifier integration with the acoustic model resulted a recognition accuracy of 91.4 %. The CMU ARCTIC Database is referred in this work.



  • Keywords

    FFNN; RF; MFCC; Pitch Period; Sampling Rate; Neurons; Weight.

  • References

      [1] ITU Radio Regulations – Article 1, Definitions of Radio Services, Article 1.2 Administration: Any governmental department or ser- vice responsible for discharging the obligations undertaken in the Constitution of the International Telecommunication Union, in the Convention of the International Telecommunication Union and in the Administrative Regulations (CS1002).

      [2] International Telecommunication Union´s Radio Regulations, Edi- tion of2012.

      [3] Colin Robinson (2003). Competition and regulation in utility mar- kets. Edward Elgar Publishing. p. 175. ISBN978-1-84376-230-0.

      [4] AyubiPreet, Department of Computer Science and Engineering, SGGSWU, Fatehgarh Sahib, Punjab, India (140406), AyubiPreet et al, / (IJCSIT) International Journal of Computer Science and Infor- mation Technologies, Vol. 5 (4), 2014,5508-5511.

      [5] ParthaPratim Bhattacharya, RonakKhandelwal, Rishita Gera, Anjali Agarwal,” Smart Radio Spectrum Management for Cognitive Ra- dio”, Department of Electronics and Communication Engineering Faculty of Engineering and Technology Mody Institute of Technol- ogy and Science (Deemed University), International Journal of Distributed and Parallel Systems (IJDPS) Vol.2, No.4, July2011.

      [6] Bablu Kumar Singh, JitendraJangir, “A Study of Recent Trends in Cognitive Radio Communications and Networks for Licence Free Connectivity”, International Journal of Engineering Research & Technology (IJERT) ISSN:2278-0181.

      [7] GoutamGhosh, Prasun Das and Subhajit Chatterjee, “Cognitive Ra- dio and Dynamic Spectrum Access a Study”, International Journal of Next-Generation Networks (IJNGN) Vol.6, No.1, March2014.

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Article ID: 30815
DOI: 10.14419/ijet.v9i2.30815

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