Personal Hub: Exploring High-Expressiveness Speech Data through Spatio-Temporal Feature Integration and Model Fine-Tuning
Introduction
In this work, we present Personal Hub, a novel framework for mining and utilizing high-expressivity speech data by integrating spatio-temporal context with combinatorial attribute control. At the core of our approach lies a Speech Attribute Matrix, which enables annotators to systematically combine speaker-related features such as age… See the full description on the dataset page: https://huggingface.co/datasets/FreedomIntelligence/PersonalHub.
