Female Speaker

Research on "female speaker" encompasses a broad range of studies investigating how gender influences various aspects of speech, language processing, and representation in technology and society. Current research focuses on mitigating gender bias in machine learning models (e.g., using techniques like data augmentation and pitch manipulation in speech recognition) and analyzing gendered language patterns in different contexts (e.g., public speeches, social media). These efforts aim to improve the fairness and accuracy of AI systems while also shedding light on societal biases and inequalities reflected in language use and technological representation.