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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  3/2011 - 7

 HIGHLY CITED PAPER 

Self-Organizing Maps For Identifying Impaired Speech

GRIGORE, O. See more information about GRIGORE, O. on SCOPUS See more information about GRIGORE, O. on IEEExplore See more information about GRIGORE, O. on Web of Science, VELICAN, V. See more information about VELICAN, V. on SCOPUS See more information about VELICAN, V. on SCOPUS See more information about VELICAN, V. on Web of Science
 
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Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (890 KB) | Citation | Downloads: 1,413 | Views: 4,406

Author keywords
speech processing, impaired speech evaluation, self-organizing maps

References keywords
speech(14), link(9), grigore(9), processing(7), system(6), therapy(5), schipor(5), language(4), impaired(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-08-31
Volume 11, Issue 3, Year 2011, On page(s): 41 - 48
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.03007
Web of Science Accession Number: 000296186700007
SCOPUS ID: 80055081886

Abstract
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Full text preview
This paper presents a method of identifying heavily impaired pronunciations of 'r' consonant in Romanian language using Kohonen neural networks. The study focused on words that contain 'r' as the first letter and used signals recorded mainly from children, as mispronunciations occur most of the time at young age persons. Parameters of the alternating component of each speech sample's envelope are used as feature vectors in the classification stage.


References | Cited By  «-- Click to see who has cited this paper

[1] O. Grigore, C. Grigore, V. Velican, "Intelligent System for Impaired Speech Evaluation", in Proceedings of the International Conference on Circuits, Systems, Signals, 10/2010, ISSN: 1792-4324, pp. 365-368. [Online] Available: Temporary on-line reference link removed - see the PDF document

[2] O. Grigore, C. Grigore, V. Velican, "Impaired Speech Evaluation using Mel-Cepstrum Analysis", in International Journal Of Circuits, Systems And Signal Processing, ISSN: 1998-4464, pp. 70-77. [Online] Available: Temporary on-line reference link removed - see the PDF document

[3] C. Vaquero, O. Saz, W. Rodriguez, E. Lleida, "Human Language Technologies for Speech Therapy in Spanish Language", [Online] Available: Temporary on-line reference link removed - see the PDF document

[4] G. Potamianos, C. Neti, "Automatic Speechreading of Impaired Speech", in Proceedings of the Audio-Visual Speech Processing Workshop, Scheelsminde, Denmark, 2001. Available at: [Online] Available: Temporary on-line reference link removed - see the PDF document

[5] T. Starner, J. Weaver, A. Pentland, "Real-Time American Sign Language Recognition Using Desk and Wearable Computer Based Video", in IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, no. 12, december 1998, pp. 1371 - 1375. [Online] Available: Temporary on-line reference link removed - see the PDF document

[6] S.-G. Pentiuc, I. Tobolcea, O. A. Schipor, M. Danubianu, M.D. Schipor, " Translation of the Speech Therapy Programs in the Logomon Assisted Speech Therapy System", in Advances in Electrical and Computer Engineering, Vol. 10, no.2, 2010.
[CrossRef] [Full Text] [Web of Science Times Cited 12] [SCOPUS Times Cited 15]


[7] O. A. Schipor, S.-G. Pentiuc, M. D. Schipor, "Improving Computer Based Speech Therapy Using a Fuzzy Expert System", in Computing and Informatics, Vol. 22, 2003. [Online] Available: Temporary on-line reference link removed - see the PDF document

[8] M. Danubianu, S.-G. Pentiuc, O. A. Schipor, M. Nestor, I. Ungureanu, "Distributed Intelligent System for Personalized Therapy of Speech Disorders", in The Third International Multi-Conference on Computing in the Global Information Technology, 2008, Athens, Greece.
[CrossRef] [SCOPUS Times Cited 16]


[9] O. Grigore, V. Velican, "Simple Method of Identifying Impaired Speech", in Proceedings of the International Conference on Multimedia and Signal Processing 2011, to be published

[10] L. Baoli, Y. Shiwen, L. Qin, "An Improved k-Nearest Neighbour Algorithm for Text Categorization", in Proceedings of the 20th International Conference on Computer Processing of Oriental Languages, Shenyang, China, 2003. [Online] Available: Temporary on-line reference link removed - see the PDF document

[11] X. Wu, V. Kumar, J.R. Quinlan et al. "Top 10 algorithms in data mining" - survey paper. [Online] Available: Temporary on-line reference link removed - see the PDF document

[12] L. Haifeng, L. Shousheng, S. Zhan, "An Improved kNN Text Categorization on Skew Sort Condition", in 2010 International Conference on Computer Application and System Modeling (ICCASM),
[CrossRef] [SCOPUS Times Cited 2]


[13] L. Rabiner, R. Schafer Digital Processing of Speech Signals, Prentice Hall, 1978

[14] M. Grimm, K. Kroschel, Robust Speech Recognition and Understanding, I-Tech Education and Publishing, 2007

[15] D. Jurafsky, J.H. Martin, Speech and Language Processing, Prentice Hall, 2000

[16] F. Mihelic, J. Zibert, Speech Recognition, IN-TECH, 2008

[17] D.V. Popovici, C. Buica-Belciu, A. Iordan, "Particularitatile Fonetice ale Pronuntiei Copiilor Dislalici", in O Scoala Deschisa, 2/2009, Ed.SS6SN, pp. 116-124.

[18] I. Moldovan, Date privind raportul dintre capacitatea de pronuntare si cea de diferentiere la palatolalici. Elemente de psihopedagogia handicapatilor. Bucuresti, Tipografia Universitatii din Bucuresti, 1990.

[19] T. Kohonen, Self-Organizing Maps, Berlin, Edition Springer, 2001.

[20] O. Grigore, I. Gavat, C. Grigore, M. Cotescu, "An Adaptive Lighting System Using the Simulated Annealing Algorithm" in Proceedings of the International Conference on Simulation, Modeling and Optimization, 09/2008, ISSN: 1790-2769, pp. 143-147. [Online] Available: Temporary on-line reference link removed - see the PDF document

[21] O. Grigore, I. Gavat, C. Grigore, M. Cotescu, "Psycho-Physiological Signal Processing and Algorithm for Adaptive Lighting Control", ISEEE - Galati, 2008

References Weight

Web of Science® Citations for all references: 12 TCR
SCOPUS® Citations for all references: 33 TCR

Web of Science® Average Citations per reference: 1 ACR
SCOPUS® Average Citations per reference: 2 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-04-19 00:21 in 22 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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