This dataset was recorded by 20 speakers with authentic pronunciation and diverse vocal qualities (10 males and 10 females) 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.
South Korean 100 Non-professional Speakers Speech Synthesis Corpus
This dataset was recorded by 100 speakers with authentic pronunciation and diverse vocal qualities (47 males and 53 females) 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 57-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.
Spain Spanish Multi-speaker Speech Synthesis Corpus
This dataset was recorded by 14 speakers with authentic pronunciation and diverse vocal qualities (6 males and 8 females) 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.
Standard Arabic Female Speech Synthesis Corpus (Virtual Talk)
This dataset was recorded by a 30-year-old female speaker with authentic pronunciation and a mature, soft 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 38-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.
