Public Restroom Guide Chinese Voice Dataset

In the process of modern urbanization, public restrooms, as infrastructure, have become an important reflection of urban civilization due to their service convenience and user experience. However, due to the lack of language guidance, users often face difficulties in locating and unclear usage instructions, affecting the user experience. Existing voice guidance systems still lack robustness, recognition accuracy, and interaction naturalness in public environments, failing to fully meet user needs. This dataset aims to provide high-quality voice samples for training voice recognition systems to enhance the intelligence level of public facility guidance.The audio data in this dataset is collected using professional recording equipment in various real simulated scenarios, covering speakers of different genders, ages, and accents. Meanwhile, environmental noise is used to enhance diversity and naturalness. To ensure data quality, multiple rounds of annotation and consistency checks are combined, and reviewed by an expert team with backgrounds in acoustics and linguistics. Data preprocessing steps include denoising, segmentation, and standardization of audio signals, finally stored in WAV format, and systematically organized by language and scenario.The core advantages of this dataset are reflected in its annotation accuracy of over 98%; strict control over the consistency and integrity of voice samples; use of new data augmentation technologies such as acoustic feature transformation and multi-path enhancement to improve system adaptability. By enhancing the accuracy of voice recognition guidance systems, it solves actual difficulties in public facility navigation. Compared with similar datasets, it provides richer context and acoustic feature data. Its rarity lies in covering a wide range of user group voice samples, with high universality and scalability, providing a reference standard for other similar voice applications.