MiteshPuthran/Speech-Emotion-Analyzer resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1408 stars · 435 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Jupyter Notebook project that builds a deep learning model (CNN, with MLP and LSTM comparisons) to detect five male/female emotions from audio speech using LibROSA feature extraction on the RAVDESS and SAVEE datasets. It serves primarily as an educational example of speech emotion recognition in Python with Keras.

Use cases

• detect emotions from speech audio
• classify emotions in voice recordings
• learn speech emotion recognition with deep learning
• extract audio features with librosa for classification
• train a CNN on RAVDESS and SAVEE datasets
• build an emotion detector from voice

When to choose

• you want a reference notebook for speech emotion classification
• you are learning audio feature extraction and CNNs in Python
• you need a starting point using RAVDESS or SAVEE datasets

When to avoid

• you need a production-ready emotion detection service or API
• you need real-time emotion inference
• you need more than five emotions or robust accuracy guarantees

Facets

learning-resource · maturity maintenance

machine-learning audio-processing speech-recognition deep-learning machine-learning speech-processing python emotion-recognition speech-emotion-recognition keras librosa jupyter-notebook cnn audio-classification audio natural-language-processing

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markdown · JSON · MCP: product_card(name="MiteshPuthran/Speech-Emotion-Analyzer")