CNN-based audio segmentation toolkit. Allows to detect speech, music, noise and speaker gender. Has been designed for large scale gender equality studies based on speech time per gender.
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Updated
Sep 19, 2025 - Python
CNN-based audio segmentation toolkit. Allows to detect speech, music, noise and speaker gender. Has been designed for large scale gender equality studies based on speech time per gender.
A Python project which can detect gender and age using OpenCV of the person (face) in a picture or through webcam.
Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
🔉 👦 👧Voice based gender recognition using Mel-frequency cepstrum coefficients (MFCC) and Gaussian mixture models (GMM)
Reading for gender bias
Pytorch implementation of DEX: Deep EXpectation of apparent age from a single image
Computer Vision project that detects emotion, age and gender after detecting faces.
Predict age and gender from a first name
An emotion and gender detector based on facial features, built with Python and OpenCV
gender/age classification
A tool for gender bias identification in text. Part of Microsoft's Responsible AI toolbox.
NamSor API v2 Python SDK - classify personal names accurately by gender, country of origin, or ethnicity.
INA's library with pretrained models for gender and age prediction from faces.
Template-system and proof-of-concept for rendering gender-neutral text-, email- and RPG-text-templates with the correct pronouns of all people involved.
Biographical data of political candidates in India; rich data on Indian MPs
🤖 In this work, we present our approach for the Author Profiling task of PAN 2019. The task is divided into two sub-problems, bot, and gender detection, for two different languages: English and Spanish.
yolov5 and opencv Age and Gender prediction using Keras
70+ years of data on Network television. Attributes of shows, race & gender of cast members, directors, producers, presenters, etc.
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