TTS

This dataset was recorded by a 21-year-old male speaker with authentic pronunciation and a sunny, energetic 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 calm, resolute 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 5 female speakers with authentic pronunciation 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 consists of 11 hours of recordings with a balanced gender ratio. It has been meticulously labeled, including pronunciation, prosody, and voice quality labeling. The voice samples, recorded by non-professional speakers, offer a higher degree of naturalness and are categorized and labeled according to voice gender, perceived age, voice description, vocal cord condition, and pronunciation location. The topic includes multi-emotional data, covering emotions such as calm, happy, angry, sad, and more.

This dataset contains 27 hours of recordings from 6 males and 21 females. The pronunciation and intonation are precisely annotated to ensure high quality and usability. The voices are recorded by non-professional speakers, making the tones more natural, though some accents or hoarseness may be present. The topics of this dataset includes expanded conversational topics such as daily life, hobbies, and special skills.

This dataset contains 18 hours of recordings from 3 male and 2 female speakers, covering various scenarios such as spontaneous dialogue, reading, and mixed Chinese-English reading. All data is precisely labeled, including pronunciation, intonation, and paralinguistic features, ensuring high quality and practical value. The topics of this dataset includes spontaneous dialogue, words, jokes, riddles, proverbs, tongue twisters, poetry, idioms, and interjections.

This dataset is gender balanced, covering a variety of different voice qualities - mature female, middle-aged male, bass, falsetto, imitation of elderly voice, etc. All have been precisely annotated, including pronunciation, prosody, and paralinguistic features (stress, elongation). The topic includes casual conversations, such as the origin of names, hobbies, childhood experiences, etc.

This dataset was recorded by one hundred voice actors.

This dataset was recorded by 12 speakers with authentic pronunciation and diverse vocal qualities (6 males and 6 females) in a professional recording studio. The recorded texts span the full range of phonemes, and the annotators possess a professional linguistic background, ensuring the data meets the research and development needs for voice synthesis.