Speech Analytics AI

To solve this problem, our system compares good and bad audio,analyzes speech features, detects silence,and converts speech into text with timestamps.

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Introducing SpeechAnalyticsAI – An AI-Powered Speech Analysis Project!

I'm excited to share the progress of my project, SpeechAnalyticsAI, developed for the Multimodal AI Hackathon 2026.

What I've built so far:

  • Good vs. Bad Audio Comparison
  • Audio Feature Extraction using Librosa Silence Detection with TimestampSpeech Recognition using Faster-Whistranscript Comparison to identify potential speech differences nteractive Dashboard using Streamlit Downloadable CSV Reports and Manual Audio Review

Tech Stack: Python, Streamlit, Librosa, Faster-Whisper, Pandas, and Matplotlib.

This project aims to make speech analysis easier by combining audio signal analysis, speech recognition, and timestamp-based transcript review in one dashboard.

I'm continuing to improve the project and explore ways to make speech analysis more accurate and useful.