Stop Saying Like and Other Filler Words (1)

Conquering Filler Words: An App Powered by Machine Learning


In a world of podcasts, video calls, and virtual presentations, clear and concise speech is more valuable than ever. Unfortunately, we all fall victim to those pesky filler words like “um,” “like,” and “you know.” A recent mobile app development project set out to tackle this issue using the power of machine learning.

The Challenge

Filler words are notoriously difficult to self-monitor. The goal of this project was to create an app that could alert users in real-time whenever they used excessive filler words, thus increasing awareness and fostering better speaking habits.

Machine Learning to the Rescue

The development team employed a machine learning model specifically trained on a massive dataset of spoken language. This dataset included diverse voices and speech patterns, ensuring the model’s accuracy across various demographics and speaking styles. The model learned to recognize common filler words and sounds with remarkable precision.

App Features

The app itself is designed with simplicity in mind. Here’s how it works:

  • Real-Time Feedback: The app analyzes speech input from the user’s microphone. It provides a subtle alert (vibration or visual cue) whenever a filler word is detected.
  • Customizable Settings: Users can tailor which filler words the app should track and the sensitivity level of detection.
  • Progress Tracking: The app offers analytics showcasing how filler word usage changes over time.

Potential Impact

This app holds great promise for anyone looking to sharpen their communication skills. Possible applications include:

  • Public Speaking: Helps speakers stay focused and eliminate distracting filler words.
  • Job Interviews: Increases confidence and professionalism during interviews.
  • Language Learning: Provides valuable feedback for those learning a new language, fostering better pronunciation and flow.

The Power of Combining Technology and Self-Improvement

This project demonstrates how machine learning can aid in personal growth and development. By pinpointing areas for improvement, this app empowers users to transform their speaking habits, enhancing their communication skills for academic, professional, and everyday success.