Zobrazeno 1 - 9
of 9
pro vyhledávání: '"N. S. Sreekanth"'
Publikováno v:
Resonance. 27:1371-1385
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6517e903a42122988de641dc125595bf
https://doi.org/10.1007/s12045-022-1432-0
https://doi.org/10.1007/s12045-022-1432-0
Publikováno v:
2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e04b58e53960d538c115a7dbfcadd3c6
https://doi.org/10.1109/iatmsi56455.2022.10119300
https://doi.org/10.1109/iatmsi56455.2022.10119300
Publikováno v:
International Journal of Advanced Computer Science and Applications. 12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1b642b54efc871296b30352f8a1abef
https://doi.org/10.14569/ijacsa.2021.0121270
https://doi.org/10.14569/ijacsa.2021.0121270
Autor:
Nobby Varghese, R GangaPrasad, S Indu, N. S. Sreekanth, Supriya N. Pal, N K Srinivas, P J Harish
Publikováno v:
ACM SIGSOFT Software Engineering Notes. 38:1-4
Research and development in Natural Language Processing (NLP) has made significant progress over the last decade. Many robust NLP systems have been developed for handling machine translation, question-answering, summarization, topic detection, cluste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbf6123eaaa1bb5b0eb5efdf7c69612e
https://doi.org/10.1145/2492248.2492265
https://doi.org/10.1145/2492248.2492265
Autor:
N. S. Sreekanth, N. K. Narayanan
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9788132235903
A novel method for improving the accuracy of automatic speech recognition system by adding non-acoustic parameters are discussed in this paper. The gestural features which are commonly co-expressive with speech is considered for improving the accurac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d129f33ae44b730f97d9be654ba12f41
https://doi.org/10.1007/978-81-322-3592-7_10
https://doi.org/10.1007/978-81-322-3592-7_10
Autor:
Pal Vaishali, N. K. Narayanan, C. H. Pradeepkumar, N. S. Sreekanth, R. Ganga Prasad, N. Pal Supriya, Nobby Varghese
Publikováno v:
Media Convergence Handbook-Vol. 2 ISBN: 9783642544866
Providing human–human way of interaction for man machine interaction is still a research challenge. It is widely believed that as the computing, communication, and display technologies progress even further, the existing HCI techniques may become a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc1d24feb72e0471d47b5e9cf2a9f521
https://doi.org/10.1007/978-3-642-54487-3_14
https://doi.org/10.1007/978-3-642-54487-3_14
Publikováno v:
Asia International Conference on Modelling and Simulation
This paper presents the method for extracting the Phase Space Point Distribution parameter for improving the accuracy of speech recognition systems. By utilizing nonlinear or chaotic signal processing techniques to extract time domain based phase spa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d507482e3dae8d4c3689ee657f74ef0
https://doi.org/10.1109/ams.2009.81
https://doi.org/10.1109/ams.2009.81
Publikováno v:
2008 First International Conference on the Applications of Digital Information and Web Technologies (ICADIWT).
In this paper we discuss about agent based multimodal interface architecture. To illustrate this concept, we present an application to mine information from a graph data structure. This application can be used as a user friendly interface for mining
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99b3331b45c7fdeffa65ba46cbc58dfd
https://doi.org/10.1109/icadiwt.2008.4664321
https://doi.org/10.1109/icadiwt.2008.4664321
Publikováno v:
Neural Information Processing ISBN: 9783540239314
ICONIP
ICONIP
This paper presents the implementation of a neural network with error back propagation algorithm for the speech recognition application with Phase Space Point Distribution as the input parameter. By utilizing nonlinear or chaotic signal processing te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efdc298e0c68aadbbe9551b2de1c08ad
https://doi.org/10.1007/978-3-540-30499-9_187
https://doi.org/10.1007/978-3-540-30499-9_187