ISSN: XXXX-XXXX
Abhi International Journal of
Computer Science and Engineering ( AIJCSE )
Login/Register
For Reference
About Journal Aim and Scope Editorial Board Publication Ethics Indexing And Abstracting Peer Review Process About Journal Aim and Scope Editorial Board Publication Ethics Indexing And Abstracting Peer Review Process

Applying Combinatorial Testing to Evaluate Cloud Service Applications

Authors: Akash Verma

Published: 2025-01-07 17:18:42.957

Download PDF

Abstract

This paper develops and evaluates a microphone-free GUI-based speech recognition system capable of high accurate speech-to-text conversion without the use of any device. It explores in further detail the interplay amongst user interface design, techniques for noise removal, and database management in terms of enhancing the usability and performance. Five hypotheses are tested: the influence of GUI design on user interaction, the efficiency of noise removal by cross-correlation, the accuracy of microphone-free recognition, the role of database management in system scalability, and the comparative efficiency of the proposed system against existing technologies. A quantitative methodology is used with controlled experiments to analyze data from diverse users and environments. The results show that the GUI needs to be intuitive; cross-correlation is the efficient method for noise cancellation; and it is quite feasible to achieve recognition accuracies comparable to that using a microphone. Good management of the database ensures greater scalability and real-time processing. Finally, the system has an accuracy and efficiency compared with the existing technology in the field, thus providing great advancements in speech recognition. The study also considers limitations in environmental diversity and data availability, proposing further research into improving noise removal techniques and database strategies for broader applicability.

Keywords

Cross, correlation, frequency, noise, speech recognition, sampling rate

References

  1. Al-Muhtaseb, H., Al-Ani, A., & Al-Ani, T. (2020). "Speech Recognition System: The Role of User Interface in Enhancing Interaction." International Journal of Computer Applications, 175(3), 45–50.
  2. Kumar, R., & Singh, P. (2019). "Noise Removal Techniques in Speech Recognition: A Comparative Study." Journal of Speech Processing, 34(2), 56–64.
  3. Johansson, P., & Bergström, J. (2021). "Accuracy of Microphone-Free Speech Recognition: Advances and Challenges." IEEE Transactions on Signal Processing, 69(8), 1221–1234.
  4. Patel, S., & Mehta, V. (2022). "Database Management in Real-Time Speech Systems: Enhancing Scalability." Journal of Database Systems, 48(5), 89–104.
  5. Wong, L., & Tan, Y. (2023). "Performance Benchmarks of Advanced Speech Recognition Technologies." Proceedings of the International Conference on Computational Linguistics, 21, 210–215.
  6. Chen, Y., Li, J., & Zhang, K. (2020). "Cross-Correlation Methods in Noise Filtering for Speech Recognition." Acoustics and Signal Processing Letters, 45(6), 98–105.
  7. Gupta, M., & Sharma, A. (2021). "GUI Design Principles for Enhanced User Experience in Speech Systems." Journal of Human-Computer Interaction, 37(4), 301–317.
  8. Narendra Kumar, B. Srinivas and Alok Kumar Aggrawal: “Finding Vulnerabilities in Rich Internet Applications (Flex/AS3) Using Static Techniques-2” I. J. Modern Education and Computer Science, 2012, 1, 33-39.(http://www.mecs-press.org/ DOI: 10.5815/ijmecs.2012.01.05)
  9. Anuj Kumar, Narendra Kumar and Alok Aggrawal: “An Analytical Study for Security and Power Control in MANET” International Journal of Engineering Trends and Technology, Vol 4(2), 105-107, 2013.
  10. Anuj Kumar, Narendra Kumar and Alok Aggrawal: “Balancing Exploration and Exploitation using Search Mining Techniques” in IJETT, 3(2), 158-160, 2012
  11. Anuj Kumar, Shilpi Srivastav, Narendra Kumar and Alok Agarwal “Dynamic Frequency Hopping: A Major Boon towards Performance Improvisation of a GSM Mobile Network” International Journal of Computer Trends and Technology, vol 3(5) pp 677-684, 2012.
  12. Ahmed, K., & Bashir, T. (2018). "Comparative Analysis of Speech Recognition Accuracy in Diverse Environments." Computer and Speech Processing Review, 19(3), 75–88.
  13. Roy, P., & Bose, D. (2021). "Signal Processing in Microphone-Free Speech Recognition Systems." IEEE International Conference on Advanced Computing, 8, 101–108.
  14. Smith, J., & Lee, H. (2022). "Advanced Speech Recognition Systems: Trends and Future Directions." Speech Technology Journal, 14(7), 57–67.
Download PDF

How to Cite

Akash Verma, (2025-01-07 17:18:42.957). Applying Combinatorial Testing to Evaluate Cloud Service Applications. Abhi International Journal of Computer Science and Engineering, Volume t768KLTMZCuRdtWVFLav, Issue 1.

Follow Us
Get In Touch

Vitthal Namdev Nagar, Opp Jain Temple Sanganer Sanganer Bazar Jaipur 302029 Rajasthan (India)

mail@abhijournals.com

© Abhi International Journals. All Rights Reserved.