EC
marcogdepinto/emotion-classification-from-audio-files
Understanding emotions from audio files using neural networks and multiple datasets.
433 141 +0/wk
GitHub
audio audio-processing classification-report datascience deep-learning deep-neural-networks emotion emotion-classification-ravdess keras keras-neural-networks librosa livingstone
Trend
0
Star & Fork Trend (22 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
marcogdepinto/emotion-classification-from-audio-files has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | emotion-classification-from-audio-files | mct-model-optimization | PanelCleaner | nn_playground |
|---|---|---|---|---|
| Stars | 433 | 433 | 433 | 433 |
| Forks | 141 | 79 | 54 | 147 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | GPL-3.0 | Apache-2.0 | GPL-3.0 | MIT |
Capability Radar vs mct-model-optimization
emotion-classification-from-audio-files
mct-model-optimization
Maintenance Activity 0
Last code push 1013 days ago.
Community Engagement 100
Fork-to-star ratio: 32.6%. 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 70
Licensed under GPL-3.0. Copyleft — check compatibility requirements.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.