Inspiration

We are developing a Speech Analysis and Feedback System that aims to help users identify speaking-related issues in their audio recordings. The planned system will analyze speaking speed, pauses, pitch variation, and voice intensity, and provide a score, timestamps, and feedback about possible issues.Our project is inspired by the difficulties people face while delivering speeches, giving presentations, and attending interviews. Speaking too fast or too slowly, taking unnatural pauses, and using a monotonous tone can affect communication and confidence.

What it does

VoxPulse aims to help users understand and improve their speaking habits through audio analysis. Users can record their speech live or upload an existing audio recording through our website. Our planned system will analyze speech features such as speaking speed, pauses, pitch variation, and voice intensity. It aims to provide a speech score, identify possible speaking issues, highlight their timestamps, and offer useful feedback.

How we built it

Our team divided the work into three parts. We are preparing normal and modified speech recordings with different speaking patterns and labeling the timestamps where variations occur. We plan to use Python audio-processing libraries to extract and compare audio features. Meanwhile, we have created an initial website using vibe coding and deployed it using Vercel. This provides a starting point for the user interface, which we plan to connect to the audio-analysis module.

Challenges we ran into

Our main challenges include preparing suitable speech data, identifying speaking variations reliably, extracting useful audio features, and connecting the Python analysis module to the website. We plan to test the system with different recordings and improve it step by step.

Accomplishments that we're proud of

We are proud to have built and deployed VoxPulse, an AI-Based Speech Quality Analyzer website. It includes live speech recording, audio upload, and an AI assistant. Our prototype is a first step toward helping users improve their speaking skills.

What we learned

This project is helping us explore website development, AI-assisted coding, Python, audio processing, and teamwork. We are learning how to combine a user-friendly interface with audio analysis to provide meaningful feedback.

What's next for VoxPulse - AI-Based Speech Quality Analyzer

Our next step is to integrate our Python-based audio-analysis code with the existing website. We aim to provide speech scores, identify speaking issues with timestamps, and offer useful feedback. In the future, we will upgrade the website with additional features and integrate new tools or APIs as needed.

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