SE
MiteshPuthran/Speech-Emotion-Analyzer
The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
1.4k 437 +0/wk
GitHub
audio-files data-science deep-learning deep-neural-networks emotion emotion-recognition keras natural-language-processing natural-language-understanding neural-network python3 speech
Trend
0
Star & Fork Trend (45 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
MiteshPuthran/Speech-Emotion-Analyzer has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | Speech-Emotion-Analyzer | SALMONN | Mortal | spacy-transformers |
|---|---|---|---|---|
| Stars | 1.4k | 1.4k | 1.4k | 1.4k |
| Forks | 437 | 113 | 186 | 176 |
| Weekly Growth | +0 | +1 | +1 | +0 |
| Language | Jupyter Notebook | N/A | Rust | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | AGPL-3.0 | MIT |
Capability Radar vs SALMONN
Speech-Emotion-Analyzer
SALMONN
Maintenance Activity 0
Last code push 1156 days ago.
Community Engagement 100
Fork-to-star ratio: 31.1%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.