Skip to main content
SpringerLink
Log in

Speaker-Independent Automatic Speech Recognition System for Mobile Phone Applications in Punjabi

  • Conference paper
  • First Online:
Advances in Signal Processing and Intelligent Recognition Systems (SIRS 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 678))

Abstract

Speaker-independent Automatic Speech Recognition (ASR) system based mobile phone applications are gaining popularity due to technological advancements and accessibility. Speech based applications may provide mobile phone accessibility and comfort to people performing activities where hand-free phone access is desirable e.g. drivers, athletes, machine operators etc. Similarly, users with disabilities like low vision, blindness and physically challenged may use it as an assistive technology. Development of ASR system for a specific language needs accurate, reliable and efficient acoustic model having language-specific pronunciation dictionary. Punjabi language is one of the popular languages worldwide having more than 150 million speakers. Three acoustic models- continuous, semi-continuous and phonetically-tied are developed based on three pronunciation dictionaries- word, sub-word and character based. Analysis of performance results validate Punjabi language principle “One word one sound” by having better accuracy and reliability for character based pronunciation dictionary than others. Further, phonetically-tied model outperforms others in terms of accuracy, word error rate and size due to reasonable number of Gaussians.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Bharali, S.S., Kalita, S.K.: A comparative study of different features for isolated spoken word recognition using HMM with reference to Assamese language. Int. J. Speech Technol. 18(4), 673–684 (2015)

    Article  Google Scholar 

  2. Commissioner for Linguistic Minorities, Ministry of Minority Affairs, Government of India. 50th Report of the Commissioner for Linguistic Minorities in India. http://www.nclm.nic.in/shared/linkimages/NCLM50thReport.pdf. Accessed 14 Jul 2016

  3. Das, B., Mandal, S., Mitra, P.: Bengali speech corpus for continuous automatic speech recognition system. In: International Conference on Speech Database and Assessments Proceedings, Taiwan, pp. 51–55 (2011)

    Google Scholar 

  4. Davis, K.H., Biddulph, R., Balashek, S.: Automatic recognition of spoken digits. J. Acoust. Soc. America 24, 637–642 (1952)

    Article  Google Scholar 

  5. Dua, M., Aggarwal, R.K., Kadyan, V., Dua, S.: Punjabi automatic speech recognition using HTK. Int. J. Comput. Sci. 9(4), 359–364 (2012)

    Google Scholar 

  6. Ho, T.H., Liu, C.J., Sun, H.: Phonetic State Tied-Mixture tone modeling for large vocabulary continuous mandarin speech recognition. In: Sixth European Conference on Speech Communication and Technology Proceedings, Hungary, pp. 883–886 (1999)

    Google Scholar 

  7. Huang, X., Alleva, F., Hon, H.W., Hwang, M.Y., Rosenfeld, R.: The SPHINX-II speech system: an overview. Comput. Speech Lang. 7(2), 137–148 (1993)

    Article  Google Scholar 

  8. Huggins-Daines, D., Kumar, M., Chan, A.: Pocketsphinx: a free, real-time continuous speech recognition system for hand-held devices. In: International Conference on Acoustics, Speech and Signal Processing Proceedings, pp. I-185–I-188. IEEE, Toulouse (2006)

    Google Scholar 

  9. Khaira, S.S.: Punjabi Bhasha Viyakarn Ate Bantar (Punjabi). Punjabi University, Patiala (2011)

    Google Scholar 

  10. Klatt, D.H.: Review of the ARPA speech understanding project. J. Acoust. Soc. America 62(6), 1345–1366 (1977)

    Article  Google Scholar 

  11. Kumar, K., Aggarwal, R.K.: A Hindi speech recognition system for connected words using HTK. Int. J. Comput. Sys. Eng. 1(1), 25–32 (2012)

    Article  MathSciNet  Google Scholar 

  12. Kumar, R.: Comparison of HMM and DTW for Isolated Word Recognition System of Punjabi Language. In: 15th Iberoamerican Congress on Pattern Recognition Proceedings, SP, Brazil, pp. 244–252 (2010)

    Google Scholar 

  13. Kumar, Y., Singh, N.: An automatic spontaneous live speech recognition system for Punjabi Language corpus. Int. J. CTA 9(20), 9575–9595 (2016)

    Google Scholar 

  14. Kumar, Y., Singh, N.: An automatic speech recognition system for spontaneous Punjabi speech corpus. Int. J. Speech Technol. 20(2), 297–303 (2017)

    Article  Google Scholar 

  15. Lee, K.F., Hon, H.W., Reddy, R.: An overview of the SPHINX speech recognition system. IEEE Trans. Acoust. Speech Signal Process. 38(1), 35–45 (1990)

    Article  Google Scholar 

  16. Lowerre, B.T.: The Harpy Speech Recognition System. Dissertation, CMU (1976)

    Google Scholar 

  17. Mittal, P., Singh, N.: Speech based command and control system for mobile phones: issues and challenges. In: International Conference on Computational intelligence and communication technology Proceedings, pp. 729–732. IEEE, Ghaziabad (2016)

    Google Scholar 

  18. Naing, H.M.S., Hlaing, A.M., Pa, W.P.: A Myanmar large vocabulary continuous speech recognition system. In: APSIPA Annual Summit and Conference Proceedings, Hong Kong, pp. 320–327 (2015)

    Google Scholar 

  19. Placeway, P., Chen, S., Eskenazi, M.: The 1996 HUB-4 Sphinx-3 system, In: DARPA Speech Recognition Workshop Chantilly Proceedings (1996). http://www.itl.nist.gov/iad/mig/publications/proceedings/darpa97/pdf/placewa1.pdf. Accessed 09 Sept 2016

  20. Punjab Population Census data. http://www.census2011.co.in/census/state/punjab.html. Accessed 14 Jul 2016

  21. Punjabi Language, Encyclopedia Britannica Online. https://www.britannica.com/topic/Punjabi-language. Accessed 05 Jul 2016

  22. Satori, H., ElHaoussi, F.: Investigation Amazigh speech recognition using CMU tools. Int. J. Speech Technol. 17, 235–243 (2014)

    Article  Google Scholar 

  23. Schalkwyk, J., Beeferman, D., Beaufays, F.: Google search by voice: a case study. In: Advances in Speech Recognition: Mobile Environments, Call Centers and Clinics Proceedings, pp. 61–90. Springer (2010)

    Google Scholar 

  24. Schuster, M., Nakajima, K.: Japanese and Korean voice search. In: International Conference on Acoustics, Speech, and Signal Processing Proceedings, pp. 5149–5152. IEEE, Kyoto (2012)

    Google Scholar 

  25. Thangarajan, R., Natarajan, A.M., Selvam, M.: Syllable modeling in continuous speech recognition for Tamil language. Int. J. Speech Technol. 12, 47–57 (2009)

    Article  Google Scholar 

  26. Walha, R., Drira, F., El-Abed, H., Alimi, A.M.: On developing an automatic speech recognition system for standard Arabic language. Int. J. Electr. Comput. Energ. Electron. Commun. Eng. 6(10), 1138–1143 (2012)

    Google Scholar 

  27. Wang, H.M., Ho, T.H., Yang, R.C.: Complete recognition of continuous Mandarin speech for Chinese language with very large vocabulary using limited training data. IEEE Trans. Speech Audio Process. 5(2), 195–200 (1997)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. BBSB Engineering College, Fatehgarh Sahib, India

    Puneet Mittal

  2. Mata Gujri College, Fatehgarh Sahib, India

    Navdeep Singh

Authors
  1. Puneet Mittal
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Navdeep Singh
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Puneet Mittal .

Editor information

Editors and Affiliations

  1. School of CS/IT, Indian Institute of Information Technology and Management, Trivandrum, Kerala, India

    Sabu M. Thampi

  2. Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada

    Sri Krishnan

  3. Department of Computer Science, University of Salamanca, Salamanca, Salamanca, Spain

    Juan Manuel Corchado Rodriguez

  4. Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, West Bengal, India

    Swagatam Das

  5. Department of Systems and Computer Networks, Wroclaw University of Science and Technology, Wroclaw, Poland

    Michal Wozniak

  6. Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool, United Kingdom

    Dhiya Al-Jumeily

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Mittal, P., Singh, N. (2018). Speaker-Independent Automatic Speech Recognition System for Mobile Phone Applications in Punjabi. In: Thampi, S., Krishnan, S., Corchado Rodriguez, J., Das, S., Wozniak, M., Al-Jumeily, D. (eds) Advances in Signal Processing and Intelligent Recognition Systems. SIRS 2017. Advances in Intelligent Systems and Computing, vol 678. Springer, Cham. https://doi.org/10.1007/978-3-319-67934-1_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-67934-1_33

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67933-4

  • Online ISBN: 978-3-319-67934-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation