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arXiv · 2510.19030

Re:Member: Emotional Question Generation from Personal Memories

Zackary Rackauckas·Nobuaki Minematsu·Julia Hirschberg
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Abstract

We present Re:Member, a system that explores how emotionally expressive, memory-grounded interaction can support more engaging second language (L2) learning. By drawing on users' personal videos and generating stylized spoken questions in the target language, Re:Member is designed to encourage affective recall and conversational engagement. The system aligns emotional tone with visual context, using expressive speech styles such as whispers or late-night tones to evoke specific moods. It combines WhisperX-based transcript alignment, 3-frame visual sampling, and Style-BERT-VITS2 for emotional synthesis within a modular generation pipeline. Designed as a stylized interaction probe, Re:Member highlights the role of affect and personal media in learner-centered educational technologies.

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Zackary Rackauckas, Nobuaki Minematsu, Julia Hirschberg. 2025-10-21. Re:Member: Emotional Question Generation from Personal Memories. https://doi.org/10.18653/v1%2F2025.hcinlp-1.13

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