Speech Emotion Analyzer
Detected Emotions:
The Speech Emotion Analyzer is an AI-powered tool that detects emotions in spoken audio. By analyzing vocal tones, pitch, and rhythm, it determines whether the speaker is happy, sad, angry, neutral, or experiencing other emotions. This tool is useful for call centers, mental health applications, AI voice assistants, and researchers studying human communication.
Key Features:
🎙 Real-Time or File-Based Analysis – Upload an audio file or record speech live.
💬 Emotion Detection – Identifies happiness, sadness, anger, fear, surprise, and more.
📊 Confidence Scores – Displays probability scores for detected emotions.
📥 Downloadable Report – Export analysis results as a PDF.
📈 Graphical Visualization – Shows waveform and emotion trends over time.
User Guide: How to Use the Speech Emotion Analyzer
Step 1: Upload or Record Audio
- Click “Upload Audio” to analyze an existing file (MP3, WAV).
- Or click “Record Speech” to capture audio directly.
Step 2: Start Analysis
- Click “Analyze Emotion”, and AI will process the vocal features.
- The tool will display detected emotions with probability scores.
Step 3: View & Download Results
- A graph will show emotion intensity over time.
- Click “Download Report” to save a PDF summary.