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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM29749

AI-Powered Speech Mock Interviews

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM29749

Volume:

8 |

4 |

Apr 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

JN

J. Nisha

SSA

S. Sri Akshithambal

SS

S. Soundaryan

MS

M. Saravanakumar

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Abstract

A practice session in which an individual imitates a real job interview scenario is called a mock interview. The goal is to assist the candidate in getting ready for the interview by having them practice answers to frequently asked questions, enhancing their communication abilities, and providing feedback on areas in which they can still improve. Our goal is to create an AI based mock interview web application. An AI-based mock interview is a practice session in which technology mimics real-world questions and feedback from a job interview to assist candidates in getting ready for their actual interviews. The technology used in mock interviews to transcribe spoken words from the interviewer and the interviewee in real-time is called speech-to-speech recognition. This allows for analysis and performance feedback on communication skills. In AI-based mock interviews, speech-to-speech recognition assist in transcribing spoken words, analyzing language patterns, and providing feedback on performance and communication skills. This allows interviewees to practice and improve their skills more effectively.

KEYWORDS

Mock interview speech-to-speech recognition performance feedback

Cite This Article

J. Nisha, S. Sri Akshithambal, S. Soundaryan, M. Saravanakumar, "AI-Powered Speech Mock Interviews," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 4, Apr 2024.

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12/31/45393

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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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