Impact Factor:6.549
 Scopus Suggested Journal: UNDER REVIEW for TITLE INCLUSSION

International Journal
of Computer Engineering in Research Trends (IJCERT)

Scholarly, Peer-Reviewed, Open Access and Multidisciplinary

Welcome to IJCERT

International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed,Open Access and Multidisciplinary

ISSN(Online):2349-7084                 Submit Paper    Check Paper Status    Conference Proposal

Back to Current Issues

Spoken Keyword Spotting System Design Using Various Wavelet Transformation Techniques with BPNN Classifier

Senthil Devi K. A., Dr. B. Srinivasan , , ,
Assistant Professor, Gobi Arts & Science College, Tamil Nadu, India. 2 Associate Professor, Gobi Arts & Science College, Tamil Nadu, India.
:10.22362/ijcert/2017/v4/i3/xxxx [UNDER PROCESS]

SpokenKeyword spotting is a speech data mining task which is used to search audio signals for finding occurrences of a specified spoken word in the given speech file.It is essential to identify the occurrences of specified keywords expertly from lots of hours of speech contents such as meetings, lectures, etc. In this paper, keyword spotting system designed with various wavelet transformation techniques and BackpropagationNeural Network (BPNN). Back Propagation Neural Network (BPNN) is trained with two predefined spoken keywords based on known features, and finally, input speech features are compared with keyword features in the trained BPNN for spotting the occurrences of the specified keyword.The method of this paper tested with ten speech content often different speakers. Various statistical features extraction techniques with wavelet transformation are used. Performance comparison is done among these methods with Haar, Daubechies2 and Simlet 4 wavelets.

Senthil Devi K. A, “Spoken Keyword Spotting System Design Using Various Wavelet Transformation Techniques with BPNN Classifier”, International Journal Of Computer Engineering In Research Trends, 4(3):111-118, March-2017.

Keywords : Spoken keyword spotting, Speech data mining, MFCC, Wavelet Packet Decomposition, Discrete Wavelet Transformation, BPN neural network, wavelet families.

1. Bahi, H., and Benati, N., [2009], “A new keyword
spotting approach”, IEEE International
Conference on Multimedia Computing and
Systems, pp. 77-80.
2. Chui CK, [1992], “An introduction to wavelets”.
Academic, New York.
3. P. Flandrin. Representation temps-fréquence.
Hermes, 1993
4. Fourier J, [1822], “The analytical theory of heat.
(trans: Freeman A)”, Cambridge University Press,
London, pp. 1878
5. Heerman P.D. and N.Khazenie, “Classification of
multispedtral remote sensing data using a bach
propagation neural network,” IEEE Trans, Geosci.
Remote Sensing, vol.GE_30,no.1,1992, pp.81-88.
6. Jo Yew Tham, Lixin Shen, Seng Luan Lee and
Hwee Huat Tan (2000) “A General Approach for
analysis and application of Discrete Multiwavelet
Transforms”, IEEE Transaction on Signal
Processing ,48(2), 457- 464.
7. Jothilakshmi, S., Spoken keyword detection using
autoassociative neural networks, International
Journal Speech Technology, Springer, 2013, pp.
8. Khan, W. and Holton, R., Word spotting in
continuous speech using wavelet transform, IEEE
International Conference on Electro/Information
Technology, 2014, pp.275-279
9. Mallat S., [1999], “A wavelet Tour of Signal
Processing”, Academic Press, New York, 1999.
10. Qian S, [2002], “Time-frequency and wavelet
transforms”, Prentice Hall PTR, Upper Saddle,
River, NJ.
11. Rama Kishore, Taranjit Kaur, “Backpropagation
Algorithm: An Artificial Neural Network
Approach for Pattern Recognition”, International
Journal of Scientific & Engineering Research,
Volume 3, Issue 6, June-2012 1 ISSN 2229-5518.
12. Sangeetha, J. and Jothilakshmi, S., “A novel
spoken keyword spotting system using support
vector machine”, Engineering Applications of
Artificial Intelligence, Springer, 2014, pp. 287–
13. Senthil devi K.A., Dr.Srinivasan B., “A novel
Keyword Spotting Algorithm in speech mining
using wavelet”, International Journal of Current
Research Vol. 8, Issue, 08, pp.36943-36946,
August, 2016.
14. Senthil devi K A., Dr.Srinivasan B., “Wavelet –
Neural Network Approach for keyword spotting in
Speech Mining”, International Journal of Trends
and Technologies”, Vol 43, Issue 3, pp 160-165,
15. Tao Li, Sheng Ma, Mitsunori Ogihara, ” Wavelet
methods in data mining”, Chapter 27 Data Mining
and Knowledge Discovery Handbook ,Springer,
2005, pp 603-626.

DOI Link : Not yet assigned

Download :

Refbacks : There are currently no refbacks


Authors are not required to pay any article-processing charges (APC) for their article to be published open access in Journal IJCERT. No charge is involved in any stage of the publication process, from administrating peer review to copy editing and hosting the final article on dedicated servers. This is free for all authors. 

News & Events

Latest issue :Volume 10 Issue 1 Articles In press

A plagiarism check will be implemented for all the articles using world-renowned software. Turnitin.

Digital Object Identifier will be assigned for all the articles being published in the Journal from September 2016 issue, i.e. Volume 3, Issue 9, 2016.

IJCERT is a member of the prestigious.Each of the IJCERT articles has its unique DOI reference.
DOI Prefix : 10.22362/ijcert

IJCERT is member of The Publishers International Linking Association, Inc. (“PILA”)

Emerging Sources Citation Index (in process)

IJCERT title is under evaluation by Scopus.

Key Dates

☞   LAST DATE OF SUBMISSION : 31st March 2023
In 7 Days

Important Announcements

All the authors, conference coordinators, conveners, and guest editors kindly check their articles' originality before submitting them to IJCERT. If any material is found to be duplicate submission or sent to other journals when the content is in the process with IJCERT, fabricated data, cut and paste (plagiarized), at any stage of processing of material, IJCERT is bound to take the following actions.
1. Rejection of the article.
2. The author will be blocked for future communication with IJCERT if duplicate articles are submitted.
3. A letter regarding this will be posted to the Principal/Director of the Institution where the study was conducted.
4. A List of blacklisted authors will be shared among the Chief Editors of other prestigious Journals
We have been screening articles for plagiarism with a world-renowned tool: Turnitin However, it is only rejected if found plagiarized. This more stern action is being taken because of the illegal behavior of a handful of authors who have been involved in ethical misconduct. The Screening and making a decision on such articles costs colossal time and resources for the journal. It directly delays the process of genuine materials.

Citation Index

Citations Indices All
Citations 1026
h-index 14
i10-index 20
Source: Google Scholar

Acceptance Rate (By Year)

Acceptance Rate (By Year)
Year Rate
2021 10.8%
2020 13.6%
2019 15.9%
2018 14.5%
2017 16.6%
2016 15.8%
2015 18.2%
2014 20.6%

Important Links

Conference Proposal