Farzaneh Mirzazadeh

Papers

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About

Farzaneh Mirzazadeh is a researcher whose work sits at the intersection of speech processing, facial animation, and human-computer interaction, with a particular focus on the Persian (Farsi) language. Her most notable contribution is the development of "AUT-Talk," a pioneering Farsi talking head system. This work involved integrating a Farsi text-to-speech (TTS) engine with synchronized facial animation to create visible speech, a significant step in making digital communication more natural and accessible for Persian speakers. By leveraging the CSLU Toolkit as a reusable framework, Mirzazadeh demonstrated a practical, modular approach to building multimodal interfaces. While her foundational paper on AUT-Talk has garnered 3 citations, its impact lies in establishing a technical pathway for non-English speech synthesis and animation. Her research addresses critical gaps in language technology for under-resourced languages, showcasing how combining TTS with visual speech can enhance applications in education, assistive technology, and human-computer interaction. Mirzazadeh’s work remains a valuable reference for those exploring cross-modal speech systems and the development of expressive, language-specific digital avatars.