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Reseach Article

Smart Voice Search Engine

by Shahenda Sarhan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 90 - Number 3
Year of Publication: 2014
Authors: Shahenda Sarhan
10.5120/15558-4301

Shahenda Sarhan . Smart Voice Search Engine. International Journal of Computer Applications. 90, 3 ( March 2014), 40-44. DOI=10.5120/15558-4301

@article{ 10.5120/15558-4301,
author = { Shahenda Sarhan },
title = { Smart Voice Search Engine },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 90 },
number = { 3 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 40-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume90/number3/15558-4301/ },
doi = { 10.5120/15558-4301 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:10:09.452414+05:30
%A Shahenda Sarhan
%T Smart Voice Search Engine
%J International Journal of Computer Applications
%@ 0975-8887
%V 90
%N 3
%P 40-44
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

For years and years the search engine researchers focus their efforts on having more accurate and faster search engines. This was more than enough in the past but with the appearance of smart phones the idea of having everything smart became dominant. In this paper we tried to share the dream of having a domain independent search engine and not only an ordinary one but a smart search by voice engine which searches user speech automatically without the user 's request and provide him with evidence on his speech, this engine was called SVSE. Through the paper we will introduce the proposed system in details explaining each part of it and finally discussing the difficulties it faces.

References
  1. Alvin F Martin, Mark A. Przybocki, (2001). "Speaker Recognition in A Multi-Speaker Environment". In: Proc. Eur. Conf. Speech Commun. Technol. , Vol. 2, pp. 787 -790.
  2. Cemal Hanilc¸et. al. , (2013). "Speaker Identification From Shouted Speech: Analysis And Compensation". In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp 8027 – 8031, 26-31 May 2013. Vancouver, BC, Canada.
  3. Janne Pylkkönen, (2009). "Investigations on Discriminative Training in Large Scale Acoustic Model Estimation". In: the 10th Annual Conference of the International Speech Communication Association (Interspeech 2009), Brighton, UK, pp. 220–223.
  4. Janne Pylkkönen, (2013). "Towards Efficient and Robust Automatic Speech Recognition: Decoding Techniques and Discriminative Training". In: Aalto University publication series Doctoral Dissertations, 44/2013. ISSN: 1799-4942 (electronic), 1799-4934 (printed), 1799-4934 (ISSN-L). Aalto University, Finland.
  5. Johan Schalkwyk,et. al. ,(2010). "Google Search by Voice: A Case Study". In: Advances in Speech Recognition: Mobile Environments, Call Centers and Clinics, Springer, pp. 61-90.
  6. Joseph P. Campbell, (1997). "Speaker Recognition: A Tutorial". In: Proceedings of The IEEE, Vol. 85, NO. 9.
  7. Manas A. Pathak, and Bhiksha Raj,(2013). " Privacy-Preserving Speaker Verification and Identification Using Gaussian Mixture Models" In IEEE Transactions on Audio, Speech & Language Processing, Vol. 21,No. 2,pp. 397-406.
  8. Mark Gales and Steve Young, (2007). " The Application of Hidden Markov Models in Speech Recognition". In: Foundations and Trends in Signal Processing, Vol. 1, No. 3, pp. 195–304, DOI: 10. 1561/2000000004.
  9. Mohammed Benzeghiba, et. al. (2007) "Automatic Speech Recognition and Speech Variability: A Review". In: Speech Communication, Vol. 49, pp. 763-786.
  10. Nelson Morgan, (2012). "Deep and Wide: Multiple Layers in Automatic Speech Recognition". In: IEEE Transactions On Audio, Speech, And Language Processing, Vol. 20, No. 1.
  11. Qin Jin, (2007). "Robust Speaker Recognition". In: partial fulfillment of the requirements for the degree of Doctor of Philosophy in Language and Information Technologies, Language Technologies Institute School of Computer Science, Carnegie Mellon University , 5000 Forbes Avenue, Pittsburgh, PA 15213.
  12. Roberto Togneri and Daniel Pullella,(2011). "An Overview of Speaker Identification: Accuracy and Robustness Issues". In: IEEE Circuits And Systems Magazine, Vol. 11, No. 2 , pp. 23-61, ISSN : 1531-636X
  13. Sadaoki Furui, (2005). "50 Years of Progress in Speech and Speaker Recognition Research", In: Ecti Transactions on Computer And Information Technology, Vol. 1, No. 2.
  14. Shaikh Salleh, et. al. ,(2000). "Speaker Recognition Based On Hidden Markov Model". In: Natiaonal Conference on Telecommunication Technology 2000, 20th - 21st Nov. 2000, Hyatt Regency Hotel, Johor Bahru.
  15. Svetlana SEG ? RCEANU & Tiberius ZAHARIA,(2013). "SPEAKER VERIFICATION US ING THE DYNAMIC TIME WARPING". In: U. P. B. Sci. Bull. , Series C, Vol. 75, No. 1, ISSN 1454-234x.
  16. Uergen Luettin, (1997). "Visual Speech And Speaker Recognition". Dissertation submitted to the University of Sheffeldfor the degree of Doctor of Philosophy. Department of Computer Science. University of Sheffeld.
  17. Vahid Majidnezhad & Igor Kheidorov , (2012). "A HMM Based Method for Vocal Fold Pathology Diagnosis". In : IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 6, No 2, pp. 135-138, ISSN (Online): 1694-0814.
  18. Wan-Chen Chen , Ching-Tang Hsieh and Chih-Hsu Hsu, (2008). "Robust Speaker Identification System Based on Two-Stage Vector Quantization". In : Tamkang Journal of Science and Engineering, Vol. 11, No. 4, pp. 357-366.
  19. Xavier Anguera, ChuckWooters, Barbara Peskin and Mateu Aguil, (2005). "Robust Speaker Segmentation for Meetings:The ICSI-SRI Spring 2005 Diarization System". In : MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction , pp. 402-414.
  20. Speech Recognition, available at: www. learnartificialneuralnetworks. com/speechrecognition. html
  21. WikipediA: WWW. Wikipedia. org
Index Terms

Computer Science
Information Sciences

Keywords

speech recognition speaker recognition search engine search by voice.