Yemeni Music Styles Dataset: Audio Recordings, Mel Spectrograms, and Metadata

This dataset contains audio recordings of traditional Yemeni music categorized into five distinct musical styles: Sanaani, Hadrami, Adani, Tihami, and Lahji. Each audio sample is 30 seconds long, stored in WAV format with a sampling rate of 48 kHz and a bitrate of 360 kbps. In addition to the audio files, the dataset includes Mel Spectrogram image representations generated from each audio sample to support deep learning and audio classification tasks. Structured metadata files (CSV format) are provided, containing information such as song title, artist name, genre label, and file path. The dataset was collected and curated manually with the assistance of experts and specialists in Yemeni music as part of a graduation project conducted at the Department of Computer Science and Information Technology, Ibb University, Republic of Yemen. The dataset aims to support research in ethnomusicology, audio signal processing, and artificial intelligence while contributing to the preservation of Yemeni musical heritage.