TTS

【Features】Two styles: Deep and uplifting; covers a variety of product categories including food, clothing, beauty, personal care, electronics, and home goods.

This dataset was recorded by a 26-year-old female speaker with authentic pronunciation and a mature, soft vocal quality in a professional recording studio. The recorded texts cover all 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 22-year-old female speaker with authentic pronunciation and a lively, sweet vocal quality in a professional recording studio. The recorded texts cover all phonemes, and the annotators have a professional linguistic background, ensuring the data meets the needs for research and development in 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 cover all 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 22-year-old female speaker with authentic pronunciation and a youthful, lively vocal quality in a professional recording studio. The recorded texts cover all 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 female speaker with authentic pronunciation and a mature, affable 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 voice actor with a friendly and soft timbre.

【Features】 Multi-domain: 4 domains Couple conversation, E-commerce live streaming, Declarative tone, Free conversation Multi-emotion: 14 emotions Pleasure, Dissatisfaction, Fear, Tenderness, Lyricism, Sadness, Sternness, Friendliness, Whispering, Apology, Excitement, Coquetry, Anger, Calmness

This dataset was recorded by a 30-year-old voice actor with a friendly and soft timbre.