Real-time Speech Fluency Analysis • Pattern Detection • AI-Powered Coaching
- Real-time Transcription — Powered by Web Speech API
- Waveform Visualization — See your audio in real-time
- Frequency Bars — Visual audio spectrum display
- Volume Monitoring — Track your speaking volume
- Filler Word Detection — Catches "um", "uh", "like", "you know", etc.
- Stammer Recognition — Identifies repeated syllables
- Pause Analysis — Monitors long silences
- Highlighted Transcript — Visual pattern marking
- 0-100 Score System — Comprehensive fluency rating
- Grade Classification — Excellent, Good, Moderate, Needs Work
- Age-Based Baselines — Fair comparison across age groups
- Component Breakdown — See what affects your score
- Real-time WPM Tracking — Words per minute display
- Optimal Range Indicator — Visual pace feedback
- Speed Advice — Too slow? Too fast? Get feedback
- Age-Adjusted Targets — Appropriate goals for each group
- Personalized Feedback — Based on your specific patterns
- Encouraging Tone — Constructive, supportive advice
- Improvement Tips — Actionable suggestions
- Session Summaries — Final analysis when you stop
- Google Chrome (recommended) — Best Web Speech API support
- Microphone access
- (Optional) Ollama for AI coaching
# Clone the repository
git clone https://github.com/yourusername/fluentflow.git
cd fluentflow
# Open in Chrome
start index.html # Windows
open -a "Google Chrome" index.html # macOS
google-chrome index.html # Linuxnpx http-server . -p 8080 --sslollama run qwen2.5-coder:7b-instruct-q4_K_M| Component | Weight | What It Measures |
|---|---|---|
| Filler Words | 30% | Frequency of "um", "uh", etc. |
| Stammers | 25% | Repeated syllables/words |
| Speaking Pace | 25% | Words per minute vs optimal |
| Silence Ratio | 20% | Proportion of quiet time |
| Score | Grade | Description |
|---|---|---|
| 85-100 | 🌟 Excellent | Outstanding fluency |
| 70-84 | ✅ Good | Solid, clear speech |
| 50-69 | Room for improvement | |
| 0-49 | 📝 Needs Work | Practice recommended |
| Age Group | Optimal WPM | Expected Fillers | Silence Ratio |
|---|---|---|---|
| 6-8 | 80-120 | 6 | 25% |
| 9-11 | 100-140 | 4 | 20% |
| 12-14 | 120-160 | 3 | 15% |
| 15+ | 130-170 | 2 | 12% |
| Metric | Description |
|---|---|
| Words/Min | Speaking pace (target: 120-150 for adults) |
| Fillers | Count of detected filler words |
| Stammers | Repeated syllables or word fragments |
| Long Pauses | Silences over 1.5 seconds |
| Silence % | Percentage of recording in silence |
| Word Count | Total words transcribed |
| Component | Technology |
|---|---|
| Transcription | Web Speech API |
| Audio | Web Audio API |
| Visualization | Canvas API |
| AI Coaching | Ollama |
| UI | Vanilla JavaScript + CSS3 |
| Fonts | Inter |
// AI Settings
const OLLAMA_URL = 'http://localhost:11434';
const MODEL = 'qwen2.5-coder:7b-instruct-q4_K_M';
const AI_INTERVAL = 5000; // Feedback frequency (ms)
// Filler Words (customize as needed)
const FILLER_WORDS = [
'um', 'uh', 'er', 'ah', 'like',
'you know', 'basically', 'actually',
'literally', 'so', 'well', 'i mean'
];| Browser | Support |
|---|---|
| Chrome | ✅ Full (recommended) |
| Edge | ✅ Full |
| Firefox | |
| Safari |
Note: Web Speech API works best in Chrome and Edge.
- Public Speaking Practice — Reduce fillers before presentations
- Language Learning — Track fluency development
- Speech Therapy Support — Monitor progress
- Interview Prep — Polish your verbal communication
- Classroom Learning — Help students improve
- Replace fillers with pauses — Silence is more powerful than "um"
- Aim for 120-150 WPM — Optimal pace for clarity
- Take a breath — Before complex sentences
- Practice regularly — Fluency improves with practice
- Record and review — Listen to your patterns
Demo Only — Speech analysis uses browser APIs and may vary by browser, device, and environment. This tool is NOT for clinical assessment. All processing happens locally — no audio is sent to external servers.
MIT License — See LICENSE for details.
Made with ❤️ for the open-source community