TTS

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

This dataset was recorded by a 31-year-old female speaker with authentic pronunciation and a friendly, natural 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 31-year-old voice actor with a soft and steady timbre.

This dataset was recorded by a single 33-year-old female speaker with authentic pronunciation and an elegant, mature 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.

[Emotion] Five emotions: Excited, Sad, Angry, Fearful, and Empathetic. [Duration] Approximately 2 hours per speaker.

[Style] Voice Assistant style, Podcast style, Audiobook style, and Online Learning style (four styles in total). [Duration] Approximately 2 hours per speaker, with about 0.5 hours for each style. [Content] Voice assistant data is recorded as single utterances, while the other styles are recorded in paragraph-level segments.

This dataset was recorded by a 32-year-old female speaker with authentic pronunciation and a warm, gentle 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.