Voice Command AI

  • Unique Paper ID: 169763
  • PageNo: 1515-1517
  • Abstract:
  • Voice Command Artificial Intelligence (VCAI) systems enable hands-free user interaction through speech recognition and natural language processing (NLP). This paper presents a VCAI system optimized for real-time command execution with high accuracy across various accents and noise levels. We integrated advanced deep learning models for speech-to-text conversion and intent recognition, achieving a robust model that balances accuracy with low latency. Tests demonstrate that the model reaches 95% accuracy and can respond in under 200 milliseconds, outperforming comparable systems in real-time applications such as smart devices and virtual assistants.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{169763,
        author = {Arun Karthik V and DharaniDharan P and Krishna Hariharan M},
        title = {Voice Command AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {1515-1517},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169763},
        abstract = {Voice Command Artificial Intelligence (VCAI) systems enable hands-free user interaction through speech recognition and natural language processing (NLP). This paper presents a VCAI system optimized for real-time command execution with high accuracy across various accents and noise levels. We integrated advanced deep learning models for speech-to-text conversion and intent recognition, achieving a robust model that balances accuracy with low latency. Tests demonstrate that the model reaches 95% accuracy and can respond in under 200 milliseconds, outperforming comparable systems in real-time applications such as smart devices and virtual assistants.},
        keywords = {},
        month = {November},
        }

Cite This Article

V, A. K., & P, D., & M, K. H. (2024). Voice Command AI. International Journal of Innovative Research in Technology (IJIRT), 11(6), 1515–1517.

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