UROP Research Mentor Project Submission Portal: Submission #1278
Submission information
              Submission Number: 1278
  Submission ID: 20986
  Submission UUID: 7b4c56e7-4266-41c3-a0f0-2cb7d682c9e3
      Submission URI: /urop-research-mentor-project-submission-portal
          Submission Update: /urop-research-mentor-project-submission-portal?token=wHhH5C42CJ6Lp9YuBS8xaUtsrjFOHcqO9goKyn3Nq9Y
      Created: Mon, 08/18/2025 - 08:44 PM
  Completed: Mon, 08/18/2025 - 08:51 PM
  Changed: Wed, 10/29/2025 - 12:13 PM
  Remote IP address: 217.180.196.6
  Submitted by: Anonymous
  Language: English
  Is draft: No
    Webform: UROP Project Proposal Portal
      Submitted to: UROP Research Mentor Project Submission Portal
    
          Research Mentor Information
Additional Research Mentor(s)
      
  
  
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          Overall Project Details
      
  
  
  The role of executive tone in firm disclosures
  
  
  
  
      
  
  
  audio analysis, CEO, CFO, earning calls.
  
  
  
  
      
  
  
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  3
  
  
  
  
      
  
  
  Finance, Marketing, Accounting, Computer Science, Linguistics
  
  
  
  
      
  
  
  On FSU Main Campus
  
  
  
  
      
  
  
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  Partially Remote
  
  
  
  
      
  
  
  5-10 hours
  
  
  
  
      
  
  
  Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
  
  
  
  
      
  
  
  I am recruiting students to develop my research program in the field of firm marketing strategies. Through this project I am looking to identify the different features of executives voice disclosures that influence stakeholders such as stock analysts and investors. I am trying to develop a machine learning algorithm to extract these features from audio recordings of earnings calls. As a first step, I intend to develop an annotated training data set of voice samples. 
  
  
  
  
      
  
  
  This project can involves literature review about audio analysis, linguistics and preparing a training dataset of audio and text data.
  
  
  
  
      
  
  
  Required : Knowledge about firm disclosures and earnings calls, Introductory knowledge of Python
Recommended: Familiarity with text and audio analysis in python.
  Recommended: Familiarity with text and audio analysis in python.
      
  
  
  This is my second year of mentoring students through UROP. My first year has helped me in understanding the expectations of students and the time constraints they face to do research. This year I am recruiting students for a specific project and I will be working with them in developing a very specific set of skills. Through this project students can expect to learn the following:
1. How to conduct a literature review
2. Using LLM's to conduct preliminary academic research
3. Understand different types of firm disclosures, specifically earning's calls
4. Work with text and audio data and learn feature extraction from this data.
While I will provide students with necessary guidance, I give students the opportunity to explore different resources independently and learn from them. Research process is often iterative and I urge students to be flexible as the research positioning may change based on the initial set of results.
  1. How to conduct a literature review
2. Using LLM's to conduct preliminary academic research
3. Understand different types of firm disclosures, specifically earning's calls
4. Work with text and audio data and learn feature extraction from this data.
While I will provide students with necessary guidance, I give students the opportunity to explore different resources independently and learn from them. Research process is often iterative and I urge students to be flexible as the research positioning may change based on the initial set of results.
      
  
  
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  - Day: Wednesday, September 3
Start Time: 5:00
End Time: 5:30
Zoom Link: https://fsu.zoom.us/j/97670570218 
UROP Program Elements
      
  
  
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  2025
  
  
  
  
      
  
  
  https://cre.fsu.edu/urop-research-mentor-project-submission-portal?token=wHhH5C42CJ6Lp9YuBS8xaUtsrjFOHcqO9goKyn3Nq9Y