NonverbalTTS: 17-Hour English Speech Corpus with Nonverbal Vocalizations

NonverbalTTS is a 17-hour open-access English speech corpus with aligned text annotations. It includes annotations for 10 types of nonverbal vocalizations and 8 emotion categories. The dataset was created by author deepvk and last updated on Hugging Face in October 2025.

Use Cases

• Training expressive TTS models based on the annotated nonverbal vocalizations and emotional categories.
• Researching paralinguistic communication based on the 10 annotated NV types like laughter and sighing.
• Developing emotion-aware speech synthesis systems based on the 8 provided emotion categories.
• Benchmarking audio annotation and alignment techniques for speech data.

Strengths

• 17 hours of high-quality speech data provides a substantial audio corpus.
• Includes annotations for 10 distinct types of nonverbal vocalizations.
• Categorizes speech into 8 different emotion categories for emotional modeling.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file formats are unknown, which may limit suitability assessment.
• Data may reflect bias inherent to the specific collection method and source.

Provenance

Source

deepvk on Hugging Face

Collection Method

Likely a curated speech corpus with manual or automated annotations.

Time Range

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Freshness

Last updated 2025-10-04 21:17:27; freshness should be verified.

Geography

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