FreedomIntelligence/PersonalHub
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… See the full description on the dataset page: https://huggingface.co/datasets/FreedomIntelligence/PersonalHub.
| Author / organization | FreedomIntelligence |
|---|---|
| License (as declared) | mit |
| Downloads | 160 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 17 May 2025 |
| Last updated at source | 26 May 2025 |
Recent changes
- 16 Oct 2026 Description: 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 speec → 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 speec
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