spoken-question-answering

The Bairong system presents a dynamic question-aware evidence routing approach for multilingual conversational spoken question answering, achieving improved performance by effectively integrating transcript and audio evidence in the MLC-SLM 2026 Challenge.

This paper investigates using text-to-speech (TTS) to generate synthetic training data for spoken question answering in Luxembourgish, a low-resource language, and evaluates multi-source TTS configurations with a parameter-efficient SLAM-style architecture.