This dataset is designed to support the development and refinement of bilingual Chinese-English mixed speech recognition technologies. It contains a diverse set of speech samples recorded in various scenarios to train and test speech recognition systems. Recordings were primarily made using desktop devices to mimic everyday usage environments. All recordings are made using high-fidelity equipment to ensure clarity and improve the accuracy of speech recognition systems. Recordings were conducted in noise-free or low-noise environments to minimize the impact of background noise on speech recognition performance. Speakers are selected from the seven major Chinese dialect regions to achieve a balanced representation of regional accents.
This dataset was recorded in a quiet office/home environment, with the participation of 200 speakers, including 123 males and 77 females. All speakers who took part in the recording were professionally screened to ensure standardized pronunciation and clear articulation. The recorded text materials cover information such as news.
