Thanks to visit codestin.com
Credit goes to github.com

Skip to content

Gus-McB/StudyRecordings

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

26 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

🎙️ StudyRecordings: Advanced Audio Transcript Analytics

Python 3.8+ Machine Learning GUI App

🚀 NEW! Beautiful drag-and-drop GUI application now available! Transform your audio recordings into powerful insights about communication patterns, speaking effectiveness, and conversation dynamics using cutting-edge machine learning techniques.

🌟 What Makes This Special?

StudyRecordings isn't just another transcription tool—it's a comprehensive communication analytics platform that reveals the hidden patterns in human conversation. Whether you're analyzing team meetings, interviews, presentations, or any spoken interaction, this system provides deep insights that go far beyond simple text transcription.

🎯 Perfect For:

  • Researchers studying communication patterns
  • Educators analyzing classroom discussions
  • Business professionals optimizing meeting effectiveness
  • Students improving presentation skills
  • Anyone curious about conversation dynamics

🖥️ Two Ways to Use StudyRecordings

🎨 Option 1: Beautiful GUI Application (Recommended for Beginners)

The easiest way to get started! Our sleek drag-and-drop interface makes transcript analysis as simple as dropping a folder.

🚀 Quick Start with GUI:

  1. Install & Launch

    pip install -r requirements_gui.txt
    python gui_app.py
  2. Use the App - It's that simple!

    📁 DRAG & DROP                    🗂️ FOLDER SELECTION
    ┌─────────────────────────────┐   ┌─────────────────────────────┐
    │                             │   │ 📁 Browse for Audio Folder  │
    │       📂                    │   │ ┌─────────────────────────┐ │
    │                             │   │ │ /path/to/your/audio    │ │
    │  Drop Audio Folder Here     │   │ └─────────────────────────┘ │
    │                             │   │                             │
    │ Supports: MP3, WAV, M4A     │   │ 📁 Browse for Output Folder │
    │          WMA, AMR           │   │ ┌─────────────────────────┐ │
    │                             │   │ │ /Desktop/Results       │ │
    └─────────────────────────────┘   │ └─────────────────────────┘ │
                                      │                             │
                                      │ ☑️ Transcribe Audio Files   │
                                      │ ☑️ Generate Analysis Reports│
                                      │                             │
                                      │    🚀 Start Processing     │
                                      └─────────────────────────────┘
    
  3. Watch the Magic Happen!

    • Real-time progress updates
    • Detailed processing logs
    • Automatic folder opening when complete

💻 Option 2: Command Line (For Power Users)

Perfect for batch processing and automation.


🎮 Interactive Tutorial: Your First Analysis

Let's walk through analyzing your first audio recording!

📋 What You'll Need:

  • Audio files (any format: MP3, WAV, M4A, WMA, AMR)
  • 5 minutes of your time
  • A cup of coffee ☕ (optional but recommended)

🎯 Step-by-Step Walkthrough:

Step 1: Launch the App 🚀

python gui_app.py

A sleek, modern interface appears with a dark gray theme

Step 2: Choose Your Method 🎨

🖱️ The Drag & Drop Way (Most Fun!):

  1. Open your file explorer
  2. Find your audio folder
  3. Drag it onto the left panel
  4. Watch the interface light up with a ✅

📁 The Traditional Way:

  1. Click "Browse for Audio Folder"
  2. Navigate to your audio files
  3. Select the folder
  4. Click OK

Step 3: Configure Your Analysis ⚙️

  • Transcribe Audio Files - Convert speech to text
  • Generate Analysis Reports - Get ML-powered insights
  • 📂 Output Location - Default: Desktop/TranscriptAnalysis

Step 4: Hit the Magic Button

Click 🚀 Start Processing and watch the show!

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 2

  •  
  •  

Languages