MiteshPuthran/Speech-Emotion-Analyzer
The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
Extracts audio features using LibROSA (MFCC, spectral analysis) normalized to 3-second windows with doubled sampling rates to augment limited training data. Uses a CNN architecture that outperformed LSTM and MLP baselines, achieving >70% emotion classification accuracy while maintaining 100% gender detection precision across RAVDESS and SAVEE datasets. Supports real-time inference on custom audio input for downstream applications like autonomous vehicle safety systems or emotion-adaptive marketing.
1,403 stars. No commits in the last 6 months.
Stars
1,403
Forks
437
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 07, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/MiteshPuthran/Speech-Emotion-Analyzer"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
marcogdepinto/emotion-classification-from-audio-files
Understanding emotions from audio files using neural networks and multiple datasets.
maelfabien/Multimodal-Emotion-Recognition
A real time Multimodal Emotion Recognition web app for text, sound and video inputs
x4nth055/emotion-recognition-using-speech
Building and training Speech Emotion Recognizer that predicts human emotions using Python,...
xiamx/awesome-sentiment-analysis
😀😄😂😠A curated list of Sentiment Analysis methods, implementations and misc. 😥😟😱😤
aniemore/Aniemore
Emotions recognition from audio and text files (only russian language)