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  Published Paper Details:

  Paper Title

Audience Interaction In Public Speeches For Future Improvisation

  Authors

  V. Simhadri,  Yekkala. Pushpa Keerthi,  Namala. Lavanya,  Dasari. Sai Bharath,  Perecharlla. Venkat Sai

  Keywords

Public Speaking, Machine Learning, Signal Processing, Quality-Aware Techniques, Audience Interaction.

  Abstract


This paper presents a method for decoding audience interaction in public speeches using advanced signal processing techniques implemented in MATLAB. By analyzing audience responses such as speech, applause, and laughter in real-time based on spectral and temporal features, the system provides immediate feedback to speakers. Through simultaneous recording of the speaker and audience, nuanced delivery and reactions are captured, enhancing analysis. The process involves noise removal and foreground extraction to isolate significant audience reactions. Thresholding methods identify key responses like applause and laughter, aiding speakers in targeted improvements. The study contributes to refining communication accuracy and event management, benefiting both speakers and researchers in communication disciplines.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2403777

  Paper ID - 253688

  Page Number(s) - g521-g530

  Pubished in - Volume 12 | Issue 3 | March 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  V. Simhadri,  Yekkala. Pushpa Keerthi,  Namala. Lavanya,  Dasari. Sai Bharath,  Perecharlla. Venkat Sai,   "Audience Interaction In Public Speeches For Future Improvisation", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 3, pp.g521-g530, March 2024, Available at :http://www.ijcrt.org/papers/IJCRT2403777.pdf

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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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