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Characterization of Consonant Sounds Using Features Related to Place of Articulation

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Book cover Smart Computing Paradigms: New Progresses and Challenges

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 766))

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Abstract

Speech sounds are classified into 5 classes, grouped based on place and manner of articulation: velar, palatal, retroflex, dental and labial. In this paper, an attempt has been made to explore the role of place of articulation and vocal tract length in characterizing the different class of speech sounds. Formants and vocal tract length available for the production of each class of sound are extracted from the region of transition from consonant burst to the rising profile of the immediate following vowel. These features along with their statistical variations are considered for the analysis. Based on the non-linear nature of the features Random Forest (RF) is used for the classification. From the results, it is observed that the proposed features are efficient in discriminating the class of consonants: velar and palatal, palatal and retroflex and palatal and labial sounds with an accuracy of 92.9%, 93.83 and 94.07 respectively.

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References

  1. Jones, D.: The phoneme: its nature and Use. Cambridge, England, Heffer (1950)

    Google Scholar 

  2. Denes, P.B.: On the statistics of spoken English. J. Acoust. Soc. Am. 35(6), 892–904 (1963)

    Article  Google Scholar 

  3. Clements, G.N.: Place of articulation in consonants and vowels: a unified theory. Work. Pap. Cornell Phon. Lab. 5, 77–123 (1991)

    Google Scholar 

  4. Rabiner, L. R., Juang, B. H.: Fundamentals of speech recognition. Tsinghua University Press (1999)

    Google Scholar 

  5. Hogg, R.M.: Phonology and morphology. Camb. Hist. Engl. Lang. 1, 67–167 (1992)

    Article  Google Scholar 

  6. Grunwell, P.: Phonological Assessment of Child Speech (PACS). College Hill Press (1985)

    Google Scholar 

  7. Shriberg, L.D., Kwiatkowski, J.: Phonological disorders I: A diagnostic classification system. J. Speech Hear. Disord. 47(3), 226–241 (1982)

    Article  Google Scholar 

  8. Eskenazi, M.: Using automatic speech processing for foreign language pronunciation tutoring: Some issues and a prototype. Lang. Learn. Tech. 2(2), 62–76 (1999)

    Google Scholar 

  9. Fukada, T., Tokuda, K., Kobayashi, T., Imai, S.: An adaptive algorithm for mel-cepstral analysis of speech. In: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1992. ICASSP-92, vol. 1, pp. 137–140. IEEE (1992)

    Google Scholar 

  10. Shrawankar, U., Thakare, V.M.: Techniques for feature extraction in speech recognition system: A comparative study arXiv:1305.1145 (2013)

  11. Zue, V.W.: The use of speech knowledge in automatic speech recognition. Proc. IEEE 73(11), 1602–1615 (1985)

    Article  Google Scholar 

  12. Milone, D.H., Rubio, A.J.: Prosodic and accentual information for automatic speech recognition. IEEE Trans. Speech Audio Process. 11(4), 321–333 (2003)

    Article  Google Scholar 

  13. Manjunath, K.E., Sreenivasa Rao, K.: Articulatory and excitation source features for speech recognition in read, extempore and conversation modes. Int. J. Speech Technol. 19(1), 121–134 (2016)

    Article  Google Scholar 

  14. Garofolo, J.S., Lamel, L.F., Fisher, W.M., Fiscus, J.G., Pallett, D.S.: Darpa timit acoustic-phonetic continous speech corpus. NASA STI/Recon technical report n 93, (1993)

    Google Scholar 

  15. McCandless, S.: An algorithm for automatic formant extraction using linear prediction spectra. IEEE Trans. Acoust., Speech, Signal Process. 22(2), 135–141 (1974)

    Article  Google Scholar 

  16. Stevens, K.N.: Acoustic Phonetics, vol. 30. MIT Press, Cambridge (2000)

    Google Scholar 

  17. Paige, A., Zue, V.: Calculation of vocal tract length. IEEE Trans. Audio Electroacoust. 18(3), 268–270 (1970)

    Article  Google Scholar 

  18. Breiman, L.: Random forests. Mach. Learn. 45(1), 5–32 (2001)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. National Institute of Technology Karnataka, Surathkal, Karnataka, India

    Pravin Bhaskar Ramteke & Shashidhar G. Koolagudi

  2. Nitte Mahalinga Adyanthaya Memorial Institute of Technology, Karkala, Karnataka, India

    Srishti Hegde

Authors
  1. Pravin Bhaskar Ramteke
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  2. Srishti Hegde
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  3. Shashidhar G. Koolagudi
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Corresponding authors

Correspondence to Pravin Bhaskar Ramteke or Srishti Hegde .

Editor information

Editors and Affiliations

  1. Engineering Faculty, Aksaray University, Sağlık, Aksaray, Turkey

    Atilla Elçi

  2. Department of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, Odisha, India

    Pankaj Kumar Sa

  3. National Institute of Technology, Goa, India

    Chirag N. Modi

  4. CICESE, Ensenada, Baja California, Mexico

    Gustavo Olague

  5. Department of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, Odisha, India

    Manmath N. Sahoo

  6. Department of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, Odisha, India

    Sambit Bakshi

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Ramteke, P.B., Hegde, S., Koolagudi, S.G. (2020). Characterization of Consonant Sounds Using Features Related to Place of Articulation. In: Elçi, A., Sa, P., Modi, C., Olague, G., Sahoo, M., Bakshi, S. (eds) Smart Computing Paradigms: New Progresses and Challenges. Advances in Intelligent Systems and Computing, vol 766. Springer, Singapore. https://doi.org/10.1007/978-981-13-9683-0_15

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