Indian Regional Music Dataset

This dataset is a collection of mel-spectrogram features extracted from Indian regional music containing the following languages:<br> Hindi, Gujarati, Marathi, Konkani, Bengali, Oriya, Kashmiri, Assamese, Nepali, Konyak, Manipuri, Khasi &amp; Jaintia, Tamil, Malayalam, Punjabi, Telugu, Kannada. Five recordings are collected for each language for four artists (2Male + 2Female) each. 2 artists out of 4 for each language are old veteran performers, and the remaining 2 are contemporary performers. Overall, the dataset includes 17 languages, 68 artists (34 Males and 34 Females). There are 340 recordings in the dataset, with a total duration of 29.3 hrs. Mel-spectrogram is extracted from a 1-second segment with a 1/2 second sliding window for each song. Extracted mel-spectrogram for each segment is annotated with language, location, local_song_index, global_song_index, language_id, location_id, artist_id, gender_id. _________________________________________________________________________________________________________ This project was funded under the grant number: ECR/2018/000204 by the Science &amp; Engineering Research Board (SERB).本数据集为从印度地区性音乐中提取的梅尔频谱图（mel-spectrogram）特征集合，涵盖以下语种：印地语、古吉拉特语、马拉地语、孔卡尼语、孟加拉语、奥里亚语、克什米尔语、阿萨姆语、尼泊尔语、克尤语、曼尼普尔语、卡西族与詹蒂亚族语、泰米尔语、马拉雅拉姆语、旁遮普语、泰卢固语、卡纳达语。 针对每种语言，分别为4位艺人（2名男性+2名女性）各录制5段音频。每类语言对应的4位艺人中，2位为资深老牌表演者，剩余2位为当代艺人。 整体而言，本数据集涵盖17种语言、68位艺人（男性34名、女性34名），共包含340段录音，总时长达29.3小时。 针对每首歌曲，以1秒片段结合0.5秒滑动窗口提取梅尔频谱图特征。每段提取得到的梅尔频谱图均标注有语言、地域、本地歌曲索引（local_song_index）、全局歌曲索引（global_song_index）、语言ID（language_id）、地域ID（location_id）、艺人ID（artist_id）以及性别ID（gender_id）。 本项目由科学与工程研究委员会（Science & Engineering Research Board, SERB）以编号ECR/2018/000204的科研资助项目支持。