speech-based-age-estimation
PublicAn end-to-end pipeline for predicting a speaker’s age from short audio samples. This project integrates advanced audio feature extraction (time-frequency statistics, Mel-spectrogram analysis) with machine learning regression (CatBoost, Random Forest). It demonstrates effective data preprocessing, outlier detection, and hyperparameter tuning
Creat：2025-01-25T21:53:34
Update：2025-02-25T06:06:02
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