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Chinese Mandarin Male Speech Synthesis Corpus (Audio Book)
This dataset was recorded by a 30-year-old male speaker with authentic pronunciation and a mature, steady 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.
Chinese Mandarin Male Speech Synthesis Corpus (Kung Fu Master)
This dataset was recorded by a 41-year-old male speaker with authentic pronunciation and a calm, rugged 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.
Chinese Mandarin Male Speech Synthesis Corpus (Multi-emotion)
This dataset was recorded by a 33-year-old voice actor with a mature and steady timbre.
Chinese Mandarin Male Speech Synthesis Corpus (Sunshine Juvenile)
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.
Chinese Mandarin Male Speech Synthesis Corpus (Tough Man)
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.
Chinese Multi-dialect Speech Synthesis Corpus (Marketing)
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.
Chinese Multi-speaker – Amateur Multi-Emotion, Multi-Style
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.
Chinese Multi-speaker – Amateur Spontaneous Dialogue
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.
Chinese Multi-speaker – Spontaneous Dialogue
This dataset contains 24.09 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.

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