Journal of
Systemics, Cybernetics and Informatics
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ISSN: 1690-4524 (Online)


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Editorial Advisory Board's Chair
William Lesso

Editor-in-Chief
Nagib C. Callaos


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The International Institute of
Informatics and Systemics

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Are We Meeting Pedagogic Requirements? – The Quadratic Equation
Russell Jay Hendel
(pages: 1-7)

Facilitating Effective Student Participation in an Online Environment
Nanda van der Stap, Risa Blair
(pages: 8-11)

Virtual Global Classrooms without Walls: Collaborative Opportunities for Higher Learning Engagement
Cathy MacDonald, Debra Sheppard-LeMoine
(pages: 12-16)

Augmented Reality as Visual Communication for People with ASD
Esteban Menéndez, María Daniela López de Luise
(pages: 17-21)

Study of Race Condition: A Privilege Escalation Vulnerability
Tanjila Farah, Rashed Shelim, Moniruz Zaman, Delwar Alam
(pages: 22-26)

From the Lab to the Field: 3D Technology Supporting Study and Conservation Processes on Ancient Egyptian Artefacts
Paola Buscaglia, Elena Biondi, Alessandro Bovero, Tomasso Quirino
(pages: 27-32)

Digital Forensics Compute Cluster (DFORC2) – A New High Speed Distributed Computing Capability for Digital Forensics
Daniel Gonzales, Zev Winkelman, Trung Tran, Ricardo Sanchez, Dulani Woods, John Hollywood
(pages: 33-38)

Proposal of a Bus Location System Based on Participatory Sensing with BLE Devices and Smartphones
Katsuhiro Naito, Katsuyuki Tanaka
(pages: 39-44)

Technical Change and Employment in an Emerging Economy
Humberto Merritt
(pages: 45-53)

Interpretation of the Results of a Case Study about Impacts and Influences of Exogenous Variables in the Planning of Chronogram and Budget in Software Projects
Altino José Mentzingen de Moraes
(pages: 54-59)

Flipped Classroom – A Flexible Way of Teaching Technology Usage for Diagnostics in the Medical Subdomain ENT
Walter Koch, Jochen Schachenreiter, Klaus Vogt, Gerda Koch
(pages: 60-64)

ERP Selection: The Lifeblood of an Organization
Desmond (Tres) Bishop
(pages: 65-69)

Proposing an Education System to Judge the Necessity of Nuclear Power in Japan
Ariyoshi Kusumi
(pages: 70-74)

Biometric Encryption System for Increased Security
Ranjith Jayapal, Pramod Govindan
(pages: 75-80)

BIM as a Structural Safety Study Tool in Case of Fire - BIMSCIP
Marcelo Franco Porto, José Ricardo Queiroz Franco, Luiza Giori Barcellos Correa, Lucas Vinicius Ribeiro Alves, Renata Maria Abrantes Baracho
(pages: 81-86)

Evaluating the Construct Validity of Basic Science Curriculum Assessment Instrument for Critical Thinking: A Case-Study
Chau-Kuang Chen, Adriana Marie Horner, Michelle Scott, Stephanie C. McClure
(pages: 87-92)

The Outer Banks Study – Physio-Chemical Parameters for Water Quality Testing/Professional Development Program for Teachers
Joseph Stringer, Timothy Bowman, Keith Vinson, Catherine Warnecke, Nora Lewis, William Slattery, Suzanne K. Lunsford
(pages: 93-97)


 

Abstracts

 


ABSTRACT


Identification of Hindi Dialects and Emotions using Spectral and Prosodic features of Speech

K Sreenivasa Rao, Shashidhar G. Koolagudi


In this paper, we have explored speech features to identify Hindi dialects and emotions. A dialect is any distinguishable variety of a language spoken by a group of people. Emotions provide naturalness to speech. In this work, five prominent dialects of Hindi are considered for the identification task. They are Chattisgharhi (spoken in central India), Bengali (Bengali accented Hindi spoken in Eastern region), Marathi (Marathi accented Hindi spoken in Western region), General (Hindi spoken in Northern region) and Telugu (Telugu accented Hindi spoken in Southern region). Along with dialect identification, we have also carried out emotion recognition in this work. Speech database considered for dialect identification task consists of spontaneous speech spoken by male and female speakers. Indian Institute of Technology Kharagpur Simulated Emotion Hindi Speech Corpus (IITKGP-SEHSC) is used for conducting the emotion recognition studies. The emotions considered in this study are anger, disgust, fear, happy, neutral and sad. Prosodic and spectral features extracted from speech are used for discriminating the dialects and emotions. Spectral features are represented by Mel frequency cepstral coefficients (MFCC) and prosodic features are represented by durations of syllables, pitch and energy contours. Auto-associative neural network (AANN) models and Support Vector Machines (SVM) are explored for capturing the dialect specific and emotion specific information from the above specified features. AANN models are expected to capture the nonlinear relations specific to dialects or emotions through the distributions of feature vectors. SVMs perform dialect or emotion classification based on discriminative characteristics present among the dialects or emotions. Classification systems are developed separately for dialect classification and emotion classification. Recognition performance of the dialect identification and emotion recognition systems is found to be 81% and 78% respectively.

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