shawnpi/SynParaSpeech
Description Here is the SynParaSpeech dataset. SynParaSpeech is the first automated synthesis framework for constructing large-scale paralinguistic datasets, designed to solve key issues of existing resources (e.g., missing speech, incomplete annotations, poor realism). It generates high-quality data with 6 fine-grained paralinguistic categories (sigh, throat clearing, laugh, pause, tsk, gasp) that match natural conversational distribution, along with millisecond-level… See the full description on the dataset page: https://huggingface.co/datasets/shawnpi/SynParaSpeech.
| Author / organization | shawnpi |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 129 (as reported by Hugging Face) |
| Likes | 9 |
| Created | 11 September 2025 |
| Last updated at source | 27 April 2026 |
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- 17 Oct 2026 Description: Description Here is the SynParaSpeech dataset. SynParaSpeech is the first automated synthesis framework for constructing large-scale paralinguistic datasets, designed to solve key issues of existing resources (e.g., missing speech, incomple → Description Here is the SynParaSpeech dataset. SynParaSpeech is the first automated synthesis framework for constructing large-scale paralinguistic datasets, designed to solve key issues of existing resources (e.g., missing speech, incomple
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.