The dataset includes 237 speakers, covering a variety of voice qualities such as mature female, middle-aged male, bass, falsetto, etc., and spans across young, middle-aged, and elderly ages. The audio is clear and natural, which can greatly enhance the naturalness and expressiveness of the model.

The dataset includes 142 distinctive speakers with various emotions such as happiness, sadness, anger, surprise, calmness, dislike, fear, etc.; it can greatly enhance the naturalness and expressiveness of the model.

This dataset consists of 11 hours of recordings with a balanced gender ratio. It has been meticulously labeled, including pronunciation, prosody, and voice quality labeling. The voice samples, recorded by non-professional speakers, offer a higher degree of naturalness and are categorized and labeled according to voice gender, perceived age, voice description, vocal cord condition, and pronunciation location. The topic includes multi-emotional data, covering emotions such as calm, happy, angry, sad, and more.

【Corpus】Centered around character settings, single sentences 【Emotion】Neutral, happiness, anger, sadness, fear, disdain, concern, seriousness, inner thoughts 【Labeling】Pronunciation, prosody, paralanguage 【Paralanguage】Crying, stuttering, laughing, snorting, sighing, smacking lips, coughing, breathing sounds, and other paralinguistic phenomena