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This book presents selected research papers on current developments
in the fields of soft computing and signal processing from the
Third International Conference on Soft Computing and Signal
Processing (ICSCSP 2020). The book covers topics such as soft sets,
rough sets, fuzzy logic, neural networks, genetic algorithms and
machine learning and discusses various aspects of these topics,
e.g., technological considerations, product implementation and
application issues.
This book presents selected research papers on current developments
in the fields of soft computing and signal processing from the
Second International Conference on Soft Computing and Signal
Processing (ICSCSP 2019). The respective contributions address
topics such as soft sets, rough sets, fuzzy logic, neural networks,
genetic algorithms and machine learning, and discuss various
aspects of these topics, e.g. technological considerations, product
implementation, and application issues.
The book includes research papers on current developments in the
field of soft computing and signal processing, selected from papers
presented at the International Conference on Soft Computing and
Signal Processing (ICSCSP 2018). It features papers on current
topics, such as soft sets, rough sets, fuzzy logic, neural
networks, genetic algorithms and machine learning. It also
discusses various aspects of these topics, like technologies,
product implementation, and application issues.
The volume contains 69 high quality papers presented at
International Conference on Computational Intelligence and
Informatics (ICCII 2017). The conference was held during 25-27,
September, 2017 at Department of Computer Science and Engineering,
JNTUHCEH, Hyderabad, Telangana, India. This volume contains papers
mainly focused on data mining, wireless sensor networks, parallel
computing, image processing, network security, MANETS, natural
language processing, and internet of things.
The book covers a variety of topics which include data mining and
data warehousing, high performance computing, parallel and
distributed computing, computational intelligence, soft computing,
big data, cloud computing, grid computing, cognitive computing,
image processing, computer networks, wireless networks, social
networks, wireless sensor networks, information and network
security, web security, internet of things, bioinformatics and
geoinformatics. The book is a collection of best papers submitted
in the First International Conference on Computational Intelligence
and Informatics (ICCII 2016) held during 28-30 May 2016 at JNTUH
CEH, Hyderabad, India. It was hosted by Department of Computer
Science and Engineering, JNTUH College of Engineering in
association with Division V (Education & Research) CSI, India.
This book presents selected research papers on current developments
in the fields of soft computing and signal processing from the
Fourth International Conference on Soft Computing and Signal
Processing (ICSCSP 2021). The book covers topics such as soft sets,
rough sets, fuzzy logic, neural networks, genetic algorithms and
machine learning and discusses various aspects of these topics,
e.g., technological considerations, product implementation and
application issues.
This book presents selected research papers on current developments
in the fields of soft computing and signal processing from the
Third International Conference on Soft Computing and Signal
Processing (ICSCSP 2020). The book covers topics such as soft sets,
rough sets, fuzzy logic, neural networks, genetic algorithms and
machine learning and discusses various aspects of these topics,
e.g., technological considerations, product implementation and
application issues.
In this book, an innovative approach for text-independent speaker
recognition has been proposed. The Speech signal produced by time
varying excitation (source) of time varying vocal tract mechanism
(system) carries information pertaining to source as well as system
which is a potential source for speaker-specific information
ignored by most of the present day speaker recognition systems,
which use vocal tract system information. Addressing the issues
involved in developing a speaker recognition system using source
feature from linear prediction residual is crucial. It is observed
that hidden Markov models (HMM) perform better than GMM as the
source information such as glottal vibrations and prosodic features
such as intonation and duration can be captured effectively.
Further it is observed that the performance of the source feature
based speaker recognition using ergodic HMM out performed
left-right HMM as the speaker specific time varying source feature
do not follow a consistent pattern. The performance is evaluated on
TIMIT speech data base.
This book presents selected research papers on current developments
in the fields of soft computing and signal processing from the
Fifth International Conference on Soft Computing and Signal
Processing (ICSCSP 2022). The book covers topics such as soft sets,
rough sets, fuzzy logic, neural networks, genetic algorithms and
machine learning and discusses various aspects of these topics,
e.g., technological considerations, product implementation and
application issues.
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