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We present JNV (Japanese Nonverbal Vocalizations) corpus, a corpus ofJapanese nonverbal vocalizations (NVs) with diverse phrases and emotions.Existing Japanese NV corpora lack phrase or emotion diversity, which makes itdifficult to analyze NVs and support downstream tasks like emotion recognition.We first propose a corpus-design method that contains two phases: (1)collecting NVs phrases based on crowd-sourcing; (2) recording NVs bystimulating speakers with emotional scenarios. We then collect $420$ audioclips from $4$ speakers that cover $6$ emotions based on the proposed method.Results of comprehensive objective and subjective experiments demonstrate thatthe collected NVs have high emotion recognizability and authenticity that arecomparable to previous corpora of English NVs. Additionally, we analyze thedistributions of vowel types in Japanese NVs. To our best knowledge, JNV iscurrently the largest Japanese NVs corpus in terms of phrase and emotiondiversities.

JNV Corpus: A Corpus of Japanese Nonverbal Vocalizations with Diverse Phrases and Emotions