English Multi-speaker Speech Synthesis Corpus (Chinese 50 speakers)
This dataset was recorded by 50 speakers with authentic pronunciation and diverse vocal qualities (24 males and 26 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.
This dataset was recorded by a 49-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 54-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 32-year-old female speaker with authentic pronunciation and a mature, composed 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 needs for research and development in voice synthesis.
This dataset was recorded by a single 35-year-old female speaker with authentic pronunciation and a mature, grand 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 35-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.
