Zobrazeno 1 - 10
of 15
pro vyhledávání: '"M. A., Anusuya"'
Autor:
H. Y., Vani1 vanihy@sjce.ac.in, M. A., Anusuya2
Publikováno v:
EAI Endorsed Transactions on Internet of Things. 2020, Vol. 6 Issue 21, p1-8. 8p.
Publikováno v:
Journal of Computational and Theoretical Nanoscience. 17:4482-4486
The aim of this paper is to present the application of Morlet wavelet to extract the speech features in place of MFCC features. KPCA is applied for selecting and reducing the large features obtained from Morlet wavelet. NLMS (Normalized Least Mean Sq
Autor:
H. Y. Vani, M A Anusuya
Publikováno v:
International Journal of Computer Applications. 177:39-54
Autor:
H. Y., Vani1 vanihy@sjce.ac.in, M. A., Anusuya2
Publikováno v:
EAI Endorsed Transactions on Internet of Things. 2019, Issue 20, p1-8. 8p.
Publikováno v:
2019 1st International Conference on Advances in Information Technology (ICAIT).
Noise is unwanted signal judged to be unpleasant, loud, or disruptive to hear which decreases speech signal quality. A brief survey on various Noise Cancellation and Noise Reduction Techniques of speech signal for different SNR’s in a noisy environ
Autor:
H. Y. Vani, M. A. Anusuya
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811090585
In the area of voice recognition, soft computing technique is a prominent method to identify and cluster speaker variability’s in the speech signal. But whenever the signal is convoluted by a noisy signal standard FCM method fails to give the good
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba4c30f59309e519bbab6e014b9d2915
https://doi.org/10.1007/978-981-10-9059-2_29
https://doi.org/10.1007/978-981-10-9059-2_29
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811090585
Speech is essential to exchange information. Speech recognition is one of the interfaces for man-machine interaction. However, the performance of these systems is restricted to noisy acoustic conditions. Silent speech i.e. visual dynamic features of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0da609b687f647f796844c62638a737e
https://doi.org/10.1007/978-981-10-9059-2_13
https://doi.org/10.1007/978-981-10-9059-2_13
Autor:
M. A. Anusuya, H. Y. Vani
Publikováno v:
Proceedings of the 4th International Conference on Information and Network Security.
Speech recognition rate decreases, as the background noise increases. Robustness of the system declines in the presence of background noise and it varies for different types of noises. This paper presents the application of wavelet technique in the p
Autor:
Vani H.Y, M. A. Anusuya
Publikováno v:
2016 Second International Conference on Cognitive Computing and Information Processing (CCIP).
In today's world, to make man-machine interaction more effective speech recognition plays an important role in speech processing. This paper presents the application of Hilbert-Huang transform (HHT), a mathematical tool applied for feature extraction
Autor:
Vani H.Y, M. A. Anusuya
Publikováno v:
2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT).
Automatic speech recognition is one of the challenging area in the field of speech signal processing. Automatic speech recognition technology converts speech signal into text. This paper presents the implementation of isolated kannada word recognizer