Arabic Dialectical Speech Recognition in Mobile Communication Services

There is little research examining the confluence of what communication channel is used for which purpose with which person. This study examines the “setting” for communication that includes what is communicated (e.g. positive or negative messages), the nature of the relationship (close versus distant), and the information channel. The respondents to a web-based questionnaire ( n = 627) were Norwegian smartphone users aged 16–35 years. Respondents evaluated mobile communication services that they used in specific social settings by “checking off” all that apply. Two methods of analysis are used to examine the material. First, a Principal Component Regression validated the main method, namely a mixed model for the Analysis of Variance. Results show the probability of using a mobile communication service is based on the effects of social group, communication purpose, communication channel, and their interaction. The relationship to the interlocutor was found to have the strongest effect on channel choice.

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User and Concept Studies as Tools in Developing Mobile Communication Services for the Elderly

Personal and Ubiquitous Computing ◽

10.1007/s007790200010 ◽

2002 ◽

Vol 6 (2) ◽

pp. 113-124 ◽

Cited By ~ 52

Author(s):

M. Mikkonen ◽

S. Va¨yrynen ◽

V. Ikonen , ◽

M. O. Heikkila¨

Keyword(s):

Mobile Communication ◽

The Elderly ◽

Communication Services

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AI Based Approach of Predicting the Credit Limits of Users to Middle Customer based Mobile Communication Services

2006 International Conference on Industrial and Information Systems ◽

10.1109/iciis.2006.365796 ◽

2006 ◽

Author(s):

A. Pallegedara ◽

V.S. Amaratunga ◽

R.A.R.C. Gopura ◽

P.D. Jayathileka

Keyword(s):

Mobile Communication ◽

Communication Services

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Optimization of Spectrum Allocation and Subsidization in Mobile Communication Services

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2015.2511181 ◽

2016 ◽

Vol 65 (10) ◽

pp. 8432-8443 ◽

Cited By ~ 7

Author(s):

Sang Yeob Jung ◽

Seung Min Yu ◽

Seong-Lyun Kim

Keyword(s):

Mobile Communication ◽

Spectrum Allocation ◽

Communication Services

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An Analysis of Trends in Mobile Communication Services in India

Adarsh Journal of Management Research ◽

10.21095/ajmr/2011/v4/i2/88309 ◽

2011 ◽

Vol 4 (2) ◽

pp. 44

Author(s):

Reena Shyam

Keyword(s):

Mobile Communication ◽

Communication Services

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Miniaturized PIFA for 5G Communication Networks

Applied Sciences ◽

10.3390/app10041326 ◽

2020 ◽

Vol 10 (4) ◽

pp. 1326 ◽

Cited By ~ 1

Author(s):

Eugene Rhee

Keyword(s):

Radiation Pattern ◽

Communication Networks ◽

Mobile Communication ◽

Antenna Gain ◽

Communication Services ◽

Term Evolution ◽

Key Characteristics ◽

5G Communication ◽

Internal Antenna

This paper designed a miniaturized Planar Inverted-F Antenna for 5G communication networks, including Long-Term Evolution Advanced mobile communication services. By showing the radiation pattern, voltage standing wave ratio, and antenna gain of the designed Planar Inverted-F Antenna, this paper evaluates its performance. To show the key characteristics of the Planar Inverted-F Antenna, this paper modeled and simulated it with various variances. Moreover, the real Planar Inverted-F Antenna was fabricated and measurements were done to validate the simulated characteristics of the internal antenna.

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Wireless Enhanced Security Based on Speech Recognition

Handbook of Research on Information Security in Biomedical Signal Processing - Advances in Information Security, Privacy, and Ethics ◽

10.4018/978-1-5225-5152-2.ch012 ◽

2018 ◽

pp. 228-253

Author(s):

S. Selva Nidhyananthan ◽

Joe Virgin A. ◽

Shantha Selva Kumari R.

Keyword(s):

Speech Recognition ◽

Mobile Communication ◽

Speaker Recognition ◽

Security Systems ◽

Global System ◽

Unauthorized Access ◽

Noise Interference ◽

Efficient Communication ◽

Mel Frequency Cepstral Coefficient

Security is the most notable fact of all computerized control gadgets. In this chapter, a voice ID computerized gadget is utilized for the security motivation using speech recognition. Mostly, the voices are trained by extracting mel frequency cepstral coefficient feature (MFCC), but it is very sensitive to noise interference and degrades the performance; hence, dynamic MFCC is used for speech and speaker recognition. The registered voices are stored in a database. When the device senses any voice, it cross checks with the registered voice. If any mismatches occur, it gives an alert to the authorized person through global system for mobile communication (GSM) to intimate the unauthorized access. GSM works at a rate of 168 Kb/s up to 40 km and it operates at different operating frequencies like 800MHz, 900MHz, etc. This proposed work is more advantageous for the security systems to trap the unauthorized persons through an efficient communication.

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