Sign inGet started
Dataset · Hugging Face

deepvk/NonverbalTTS

NonverbalTTS Dataset 🎵🗣️ NonverbalTTS is a 17-hour open-access English speech corpus with aligned text annotations for nonverbal vocalizations (NVs) and emotional categories, designed to advance expressive text-to-speech (TTS) research. Key Features ✨ 17 hours of high-quality speech data 10 NV types: Breathing, laughter, sighing, sneezing, coughing, throat clearing, groaning, grunting, snoring, sniffing 8 emotion categories: Angry, disgusted, fearful, happy… See the full description on the dataset page: https://huggingface.co/datasets/deepvk/NonverbalTTS.

Author / organizationdeepvk
License (as declared)apache-2.0
Downloads780 (as reported by Hugging Face)
Likes72
Created22 April 2025
Last updated at source4 October 2025
audio
Embed this entry
<iframe src="https://silytics.si/embed/item/9531603c-f6c4-48e5-bc6d-41b8dbac4f86" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Recent changes

  • 16 Oct 2026 Description: NonverbalTTS Dataset 🎵🗣️ NonverbalTTS is a 17-hour open-access English speech corpus with aligned text annotations for nonverbal vocalizations (NVs) and emotional categories, designed to advance expressive text-to-speech (TTS) research. K → NonverbalTTS Dataset 🎵🗣️ NonverbalTTS is a 17-hour open-access English speech corpus with aligned text annotations for nonverbal vocalizations (NVs) and emotional categories, designed to advance expressive text-to-speech (TTS) research. K

Changes detected by Silytics between refreshes of the source.

More from deepvk

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.