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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM38116

Desktop Based Voice Assistant

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM38116

Volume:

8 |

10 |

Oct 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PP

Prem Panchal

PB

Parth Barot

AP

Arpit Patel

APMMV

Asst. Prof. Ms. Manisha Vasava

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Abstract

The advancement of voice-based technologies has led to the development of user-friendly systems that integrate voice recognition with task automation. This paper presents a desktop-based voice assistant capable of interpreting voice commands, processing them through Python, and executing various tasks autonomously. By leveraging speech-to-text conversion, the assistant can understand user input, engage in contextual task execution, and provide real-time outputs, enhancing productivity and accessibility. Unlike many commercial voice assistants, this solution is tailored for local desktop environments, ensuring data privacy and allowing for greater customization. The paper reviews the architecture, key modules such as Haar Cascades, LBPH, DNN and the underlying Python algorithms that power the assistant, along with its real-world applications.

KEYWORDS

Haar Cascades LBPH DNN

Cite This Article

Prem Panchal, Parth Barot, Arpit Patel, Asst. Prof. Ms. Manisha Vasava, "Desktop Based Voice Assistant," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 10, Oct 2024.

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Publication Date

10/24/2024

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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