DOI: 10.57760/sciencedb.j00104.00133
title: Tibetan Folk Songs
title: 藏族民歌

description: This dataset contains four main categories of audio files: Tibetan folk songs, pop songs, recitation accompaniment, and others. The "Tibetan folk songs" category is further divided into five subcategories, including labor songs, le, zhong ang, religious songs, and ballads. The audio files in the dataset are in three formats: MP3, MP4, and M4A, covering a wide range of ethnic music styles and other musical forms, providing diverse data support for music analysis and research.The applications of this dataset are broad and far-reaching, especially in the fields of ethnomusicology, computational musicology, cross-cultural research, and machine learning. First, in ethnomusicology, this dataset provides valuable support for the preservation and research of Tibetan musical heritage, helping to reveal the cultural features and emotional expressions of Tibetan folk songs. Second, in computational musicology, the audio files in this dataset offer rich material for analyzing the musical structure, patterns, and cultural evolution of Tibetan folk songs, supporting research on the evolution and structural characteristics of music. In cross-cultural research, this dataset not only helps compare the similarities and differences between Tibetan folk songs and other ethnic music but also promotes a deeper understanding and study of global musical traditions, highlighting the diversity of cultural integration. Additionally, in machine learning applications, the dataset provides abundant material for training and optimizing multicultural music classification, sentiment analysis, and recommendation system models, contributing to the digital preservation of ethnic music and the development of intelligent recommendation technologies.
description: This dataset contains four main categories of audio files: Tibetan folk songs, pop songs, recitation accompaniment, and others. The "Tibetan folk songs" category is further divided into five subcategories, including labor songs, le, zhong ang, religious songs, and ballads. The audio files in the dataset are in three formats: MP3, MP4, and M4A, covering a wide range of ethnic music styles and other musical forms, providing diverse data support for music analysis and research.The applications of this dataset are broad and far-reaching, especially in the fields of ethnomusicology, computational musicology, cross-cultural research, and machine learning. First, in ethnomusicology, this dataset provides valuable support for the preservation and research of Tibetan musical heritage, helping to reveal the cultural features and emotional expressions of Tibetan folk songs. Second, in computational musicology, the audio files in this dataset offer rich material for analyzing the musical structure, patterns, and cultural evolution of Tibetan folk songs, supporting research on the evolution and structural characteristics of music. In cross-cultural research, this dataset not only helps compare the similarities and differences between Tibetan folk songs and other ethnic music but also promotes a deeper understanding and study of global musical traditions, highlighting the diversity of cultural integration. Additionally, in machine learning applications, the dataset provides abundant material for training and optimizing multicultural music classification, sentiment analysis, and recommendation system models, contributing to the digital preservation of ethnic music and the development of intelligent recommendation technologies.