TTS

【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

【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

This dataset was recorded by a 32-year-old female speaker with authentic pronunciation and a competent, mature vocal quality in a professional recording studio. The recorded texts span the full range of phonemes, and the annotators have a professional linguistic background, ensuring the data meets the research and development needs for voice synthesis.

This dataset was recorded by a 55-year-old female speaker with authentic pronunciation and an aged, dignified vocal quality in a professional recording studio. The recorded texts span the full range of phonemes, and the annotators have a professional linguistic background, ensuring the data meets the research and development needs for voice synthesis.

This dataset was recorded by a 23-year-old female speaker with authentic pronunciation and a sweet, lively vocal quality in a professional recording studio. The recorded texts span the full range of phonemes, and the annotators have a professional linguistic background, ensuring the data meets the research and development needs for voice synthesis.

This dataset was recorded by a 25-year-old female speaker with authentic pronunciation and a gentle, friendly vocal quality in a professional recording studio. The recorded texts span the full range of phonemes, and the annotators have a professional linguistic background, ensuring the data meets the research and development needs for voice synthesis.

This dataset was recorded by a 30-year-old male speaker with authentic pronunciation and a mature, steady vocal quality in a professional recording studio. The recorded texts span the full range of phonemes, and the annotators have a professional linguistic background, ensuring the data meets the research and development needs for voice synthesis.

This dataset was recorded by a 41-year-old male speaker with authentic pronunciation and a calm, rugged vocal quality in a professional recording studio. The recorded texts span the full range of phonemes, and the annotators have a professional linguistic background, ensuring the data meets the research and development needs for voice synthesis.

This dataset was recorded by a 33-year-old voice actor with a mature and steady timbre.