Skip to main content
SpringerLink
Log in
Book cover

International Conference on Intelligent Human Computer Interaction

IHCI 2020: Intelligent Human Computer Interaction pp 287–298Cite as

Speech Based Access of Kisan Information System in Telugu Language

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12615))

Abstract

In a developing country like India, agriculture provides large scale employment in rural areas, thus serving as the backbone of an economic system. For farmers it is important to decide which crop to grow, what Government schemes benefit them the most and what is the best selling price of the crop. In this paper we described the Speech to Speech interaction between farmer and government through an application using speech recognition system for Telugu language that will form the interface to the webpage providing information about the government schemes and commodity prices through voice. The proposed Kisan Information System (KIS) is integration of Speech recognition, Dialogue Manager, and Speech Synthesis modules. The performance of the KIS is better compared with existing one for Telugu language.

This is a preview of subscription content, 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   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

Notes

  1. 1.

    http://www.apagrisnet.gov.in/.

References

  1. Rabiner, L.R.: Applications of speech recognition in the area of telecommunications. In: Proceedings of IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), Santa Barbara, CA USA, December 1997

    Google Scholar 

  2. Girija, P.N., Sreeenu, G., Nagamani, M., Prasad, M.N.: Human machine speech interface using Telugu language- HUMSINTEL. In: Proceedings of IEEE International Conference on Human Machine Interfaces, Bangalore, India, December 2004

    Google Scholar 

  3. Gopalakrishna A., et al.: Development of Indian language speech databases for large vocabulary speech recognition systems. In: Proceedings of SPECOM, Patras, Greece (2005)

    Google Scholar 

  4. Donovan, R., Woodland, P.: Improvements in an HMM-based speech synthesiser. In: Europespeech95, Madrid, Spain, vol. 1, pp. 573–576 (1995)

    Google Scholar 

  5. Sreenu, G., Prasad, M.N., Girija, P.N., Nagamani, M.: Telugu speech interface machine for university information system. In: Proceedings of IEEE Advanced Computing and Communications (ADCOM), Ahmadabad, India, December 2004

    Google Scholar 

  6. Mantena, G.V., Rajendran, S., Gangashetty, S.V., Yegnanarayana, B., Prahallad, K.: Development of a spoken dialogue system for accessing agricultural information in Telugu. In: Proceedings of 9th International Conference on Natural Language Processing (ICON-2011), Chennai, India, December 2011

    Google Scholar 

  7. Jiang, H.: Confidence measures for speech recognition: a survey. Speech Commun. 45(4), 455–470 (2005)

    Article  Google Scholar 

  8. Krishna, B.S.R., Girija, P.N., Nagamani, M.: Pronunciation dictionary comparison for Telugu language automatic speech recognition system. J. Data Eng. Comput. Sci. GRIET 2(1), 60–69 (2010)

    Google Scholar 

  9. Polifroni, J., Hazen, T.J., Burianek, T., Seneff, S.: Integrating recognition confidence scoring with language understanding and dialogue modeling. In: Proceedings of ICSLP (2000)

    Google Scholar 

  10. Achanta, S., Banothu, R., Pandey, A., Vadapalli, A., Gangashetty, S.: Text-to-speech synthesis using attetion based sequence-to-sequence neural networks. In: Proceedings of ISCA Speech Synthesis Workshop 9, September 2016

    Google Scholar 

  11. Nagamani, M., Girija, P.N.: Substitution error analysis for improving the word accuracy in Telugu language automatic speech recognition system. IOSR J. Comput. Eng. (IOSRJCE) 3(4), 07–10 (2012). ISSN 2278–0661

    Article  Google Scholar 

  12. Rabiner, L., Rabiner, L.R., Juang, B.-H.: Fundamentals of Speech Recognition. PTR Prentice Hall, Upper Saddle River (1993)

    MATH  Google Scholar 

  13. Speech-Based Automated Commodity Price Helpline in Six Indian languages. http://asrmandi.wixsite.com/asrmandi

  14. Deka, A., Deka, M.K.: Speaker independent speech based telephony service for agro service using asterisk and sphinx 3. Int. J. Comput. Sci. Eng. Open Access 4, 47–52 (2016)

    Google Scholar 

  15. Godambe, T., Karkera, N., Samudravijaya, K.: Adaptation of acoustic models for improved Marathi speech recognition. In: Proceedings of International conference, Acoustics, CSIR-NPL, pp. 1–6, November 2013

    Google Scholar 

  16. Yogapriya, S., Shanmugapriya, P.: Speech based access for agriculture commodity prices in Tamil. Int. J. Sci. Technol. Eng. (IJSTE) 4(7), 75–81 (2018). ISSN (online): 2349–784X

    Google Scholar 

  17. Gaikwad, S., Gawali, B., Mehrotra, S.: Speech recognition for agriculture based interactive voice response system. Int. J. Modern Eng. Res. (IJMER) 4(2), 112–115 (2014). ISSN: 2249–6645

    Google Scholar 

  18. Rajeshwari, S., Kannan, S., Rajkumar, K.: A smart agriculture model by integrating IoT, mobile and cloud-based big data analytics. Int. J. Pure Appl. Math. (IJPAM) 118(8), 365–370 (2018). ISSN: 1314–3395 (on-line version): ISSN: 1311–8080 (printed version)

    Google Scholar 

  19. Mittal, S., Gandhi, S., Tripathi, G.: Socio-Economic impact of Mobile Phones on Indian Agriculture. Indian Council for Research on International Economic Relations (ICRIER), February 2010

    Google Scholar 

  20. Brown, M.K., McGee, M.A., Rabiner, L.R., Wilpon, J.G.: Training set design for connected speech recognition. IEEE Trans. Signal Process. 39(6), 1268–1281 (1991)

    Article  Google Scholar 

  21. Yegnanarayana, B., Prahallad, K.: AANN - an alternative to GMM for pattern recognition. Neural Netw. 15(3), 459–469 (2002)

    Article  Google Scholar 

  22. Kethireddy, R., Kadiri, S.R., Gangashetty, S.V.: Learning filter-banks from raw waveform for accent classication. In: Proceedings of IJCNN, Glasgow, UK, 19–24 July 2020, pp. 1–6 (2020)

    Google Scholar 

  23. Prahallad, K.: Dealing with untranscribed speech. In: Proceedings of International Conference on Signal Processing and Communications (SPCOM), pp. 1–12. IISc Bangalore, India (2012)

    Google Scholar 

  24. Prahallad, K., Elluru, N.K., Keri, V., Rajendran, S., Black, A.W.: The IIIT-H Indic speech databases. In: Proceedings of INTERSPEECH, Portland, Oregon, USA (2012)

    Google Scholar 

  25. Nagamani, M.: Lexical modelling in HMM based Telugu language ASR system. Ph.D. thesis, June 2020

    Google Scholar 

  26. Girija, P.N., Nagamani, M.: Improving reading and writing skills with intelligent tutor for Telugu language learning-INTTELL. In: Proceedings of International Conference on Intelligent Sensing and Information Processing (2005)

    Google Scholar 

Download references

Acknowledgement

We are at faith words to express our gratitude to Sri C. Ranganayakulu, Senior Lecturer in Electronics and Communication Engineering Government Polytechnic Anantapur, Andhra Pradesh, India for his best suggestions and constant encouragement. We also like to thank H.K. Swetha, G. Sanjana, M. Vyshnavi, and G. Chethana for their help in initial data collection work.

Author information

Authors and Affiliations

  1. International Institute of Information Technology-Hyderabad, Hyderabad, Telanagana, India

    Rambabu Banothu & Suryakanth V. Gangashetty

  2. JNTUA, Anantapuram, Andhra Pradesh, India

    S. Sadiq Basha

  3. SCIS, University of Hyderabad, Hyderabad, Telanagana, India

    Nagamani Molakatala

  4. Indian Institute of Technology Hyderabad, Sangareddy, Telanagana, India

    Veerendra Kumar Gautam

Authors
  1. Rambabu Banothu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. S. Sadiq Basha
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Nagamani Molakatala
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Veerendra Kumar Gautam
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Suryakanth V. Gangashetty
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Rambabu Banothu .

Editor information

Editors and Affiliations

  1. Woosong University, Daejeon, Korea (Republic of)

    Madhusudan Singh

  2. Dongseo University, Busan, Korea (Republic of)

    Dae-Ki Kang

  3. Keimyung University, Daegu, Korea (Republic of)

    Jong-Ha Lee

  4. Indian Institute of Information Technoloy, Allahabad, India

    Uma Shanker Tiwary

  5. Hankuk University of Foreign Studies, Yongin, Korea (Republic of)

    Dhananjay Singh

  6. Pukyong National University, Busan, Korea (Republic of)

    Wan-Young Chung

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Banothu, R., Basha, S.S., Molakatala, N., Gautam, V.K., Gangashetty, S.V. (2021). Speech Based Access of Kisan Information System in Telugu Language. In: Singh, M., Kang, DK., Lee, JH., Tiwary, U.S., Singh, D., Chung, WY. (eds) Intelligent Human Computer Interaction. IHCI 2020. Lecture Notes in Computer Science(), vol 12615. Springer, Cham. https://doi.org/10.1007/978-3-030-68449-5_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-68449-5_29

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-68448-8

  • Online ISBN: 978-3-030-68449-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation