TTS

This dataset was recorded by a 58-year-old male speaker with authentic pronunciation and a mature, steady 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 35-year-old voice actor with a mature and steady timbre.

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

Multi-emotion - Neutral, Happy, Angry, Sad, Shocked, Hateful, Scared, Shouting, Crying, Laughing, Weak

Multi-emotion - Neutral, Happy, Angry, Sad, Shocked, Hateful, Scared, Shouting, Crying, Laughing, Weak

This dataset was recorded by a 75-year-old male speaker with authentic pronunciation and a mature, steady 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 620 speakers with authentic pronunciation and diverse vocal qualities (334 males and 286 females) in a quiet indoor environment. 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.

50 speakers, gender balanced, with pronunciation and prosody annotations

This dataset was recorded by 5 speakers with authentic pronunciation and diverse vocal qualities (one male and four females) 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.