Speech-emotion-recognition-cnn-lstm SaqibShah-dev · COMPLETED
A deep learning project for Speech Emotion Recognition (SER) utilizing the RAVDESS Speech dataset. Built with Keras/TensorFlow, the pipeline uses a hybrid 1D CNN + LSTM architecture to extract spatial-temporal features from audio Mel-spectrograms and classify them into 8 distinct human emotions.
github.com/SaqibShah-dev/Speech-emotion-recognition-cnn-lstm · ★ 1 · Forks 0 · Size 229 KB
SUMMARY
Technologies 3
Scored 3
Observed 3
Practices 6
Evidence 3
Skips 0
COVERAGE
Analyzed 8 files · 1 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
2 files · PRODUCTION
NumPy LIBRARY Depth 54
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-07-01
Last commit 2026-07-01
Active months 1
Commits 1