TTS

This dataset was recorded by a 37-year-old voice actor with a mature and elegant timbre.

This dataset was recorded by a 32-year-old voice actor with a mature and steady timbre.

This dataset was recorded by a 28-year-old voice actor with a neutral-styled timbre.

This dataset was recorded by a 28-year-old voice actor with a calm and soft timbre.

Features: Agent-style duplex conversation; the main speaker acts as the Agent and engages in multi-turn dialogues with companion voices in scenarios such as emotional companionship and daily Q&A. Emotion: Both main and companion voices are annotated with 28 emotions—including neutral, joy, anger, sadness, fear, surprise, disgust, etc.—with clause-level emotion tagging.

This dataset was recorded by a single 33-year-old female speaker with authentic pronunciation and a mature, gentle vocal quality in a professional recording studio. The recorded texts encompass 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 single 30-year-old male speaker with authentic pronunciation and a calm, gentle vocal quality in a professional recording studio. The recorded texts encompass 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 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.