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EMOVOX: An interdisciplinary approach to voice biomarkers for emotional profiling
Oct 20, 2025 - Expresión de emociones y esquizofrenia: sistema para el reconocimiento de emociones en el habla a través de técnicas de inteligencia artificial
William Ricardo Rodríguez; Oscar Julian Perdomo; Martínez, Angela, 2025, "EMOVOX: An interdisciplinary approach to voice biomarkers for emotional profiling", https://doi.org/10.34848/NLZRDM, Universidad del Rosario, V1
EMOVOX is an AI-based algorithm designed to detect and analyze the five basic emotions — joy, sadness, anger, fear, and disgust — through voice. Using acoustic-prosodic features and machine learning models such as Decision Trees, Random Forest, and Support Vector Machines, EMOVOX...
modelo_DT_emo.pkl
Unknown - 81.5 KB - MD5: 4bbff9cdc266ed1440fbe6f435d03640
modelo_DT_sex.pkl
Unknown - 24.7 KB - MD5: 09f2b6b63568430eb76778d889435f08
modelo_RF_emo.pkl
Unknown - 8.2 MB - MD5: 985627ca2eeb10b4c31ac1deb1e58a10
modelo_RF_sex.pkl
Unknown - 2.9 MB - MD5: 3cd72429a7a1e9b871dfd950f7e74936
modelo_SVM_emo.pkl
Unknown - 1.4 MB - MD5: 8f1b8474d31b81c18b8dd634eff146f8
modelo_SVM_sex.pkl
Unknown - 398.3 KB - MD5: d3884504e4f6d5d83d40f0edc757ae1a
param_from_audio.ipynb
Jupyter Notebook - 96.9 KB - MD5: 1dbeb6d41c4b1c22b0facb9407f6f390
Test_disgust_pac.wav
Waveform Audio - 441.3 KB - MD5: 04a40f8e8a3ca13c104895be8afa559a
Test_happy.wav
Waveform Audio - 301.0 KB - MD5: 3b59a515dad159c1c5a07dec2ad50817
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