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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, sniffing8 emotion categories: Angry, disgusted, fearful, happy, neutral… See the full description on the dataset page:
Source: Hugging Face Hub (deepvk/NonverbalTTS). Metadata imported from the dataset’s Hub tags.