Call for Paper - May 2023 Edition
IJCA solicits original research papers for the May 2023 Edition. Last date of manuscript submission is April 20, 2023. Read More

Auto Spell Suggestion for High Quality Speech Synthesis in Hindi

Print
PDF
International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 87 - Number 17
Year of Publication: 2014
Authors:
Shikha Kabra
Ritika Agarwal
10.5120/15302-4039

Shikha Kabra and Ritika Agarwal. Article: Auto Spell Suggestion for High Quality Speech Synthesis in Hindi. International Journal of Computer Applications 87(17):31-34, February 2014. Full text available. BibTeX

@article{key:article,
	author = {Shikha Kabra and Ritika Agarwal},
	title = {Article: Auto Spell Suggestion for High Quality Speech Synthesis in Hindi},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {87},
	number = {17},
	pages = {31-34},
	month = {February},
	note = {Full text available}
}

Abstract

The goal of Text-to-Speech (TTS) synthesis in a particular language is to convert arbitrary input text to intelligible and natural sounding speech. However, for a particular language like Hindi, which is a highly confusing language (due to very close spellings), it is not an easy task to identify errors/mistakes in input text and an incorrect text degrade the quality of output speech hence this paper is a contribution to the development of high quality speech synthesis with the involvement of Spellchecker which generates spell suggestions for misspelled words automatically. Involvement of spellchecker would increase the efficiency of speech synthesis by providing spell suggestions for incorrect input text. Furthermore, we have provided the comparative study for evaluating the resultant effect on to phonetic text by adding spellchecker on to input text.

References

  • Reichel, Uwe D. , and Hartmut R. Pfitzinger. "Text preprocessing for speech synthesis. " (2006).
  • Sproat, Richard. "Multilingual text analysis for text-to-speech synthesis. "Natural Language Engineering 2. 04 (1996): 369-380.
  • Neha Gupta, Pratistha Mathur "Spell Checking Techniques in NLP: A Survey" International Journal of Advanced Research in Computer Science and Software Engineering, 2012
  • Sharma, Amit, and Pulkit Jain. "Hindi Spell Checker. " (2013).
  • DATA SHEET FOR WX-NOTATION, http://caltslab. uohyd. ernet. in/wx-notation-pdf/Gujarati-wx-notation. pdf
  • A. Chauhan, Vineet Chauhan, Surendra P. Singh, Ajay K. Tomar, Himanshu Chauhan" A Text to Speech System for Hindi using English Language" IJCST Vol. 2, Issue 3, September 2011.
  • Macchi, Marian. "Issues in text-to-speech synthesis. " Intelligence and Systems, 1998. Proceedings. , IEEE International Joint Symposia on. IEEE, 1998.
  • S. S. Agrawal, "Synthesizing Hindi speech using Klsyn and Hlsyn for natural sounding," in Workshop on Spoken Language Processing, TIFR, Mumbai, 2003.
  • Murthy, Hema A. , et al. "Building Unit Selection Speech Synthesis in Indian Languages: An Initiative by an Indian Consortium. " Proceedings of COCOSDA, Kathmandu, Nepal (2010).
  • Schröder, Marc, and Jürgen Trouvain. "The German text-to-speech synthesis system MARY: A tool for research, development and teaching. " International Journal of Speech Technology 6. 4 (2003): 365-377.
  • Ankit Mundra and Nitin Rakesh. "Online Hybrid Model for Online Fraud Prevention and Detection. " Intelligent Computing, Networking, and Informatics. Springer India, 2014. 805-815.
  • Ankit Mundra & Rakesh, N. (2014, January). Online Hybrid Model for Fraud Prevention (OHM-P): Implementation and Performance Evaluation. In ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India-Vol II (pp. 585-592). Springer International Publishing.