This dataset is a collection of mel-spectrogram features extracted from Indian semi-classical music containing the following 9 semi-classical styles: Bhajan, Chaiti, Dadra, Ghazal, Kajri, Natya Sangeet, Qawwali, Tappa, Thumri. The number of recordings varies from 25 (for Chaiti) to 50 in the mentioned styles representing the scarcity of availability of given folk styles on the Internet. There are at least 5 artists and a maximum of 13. Overall there are 48 artists (36 female + 12 male) in these 9 semi-classical styles. There is a total of 425 recordings in the dataset, with a total duration of 54.69 hrs. Mel-spectrogram is extracted from a 3-second segment with each song's 1/2 second sliding window. Extracted mel-spectrogram for each segm...
Introduction These datasets comprise audio excerpts and manually done annotations of the tonic pitc...
Comunicació presentada a la International Computer Music Conference, ICMC/SMC, celebrada a Atenes (G...
Dataset Introduction: The repository contains Hindustani alankaars and ragas sung by two female voca...
This dataset is a collection of mel-spectrogram features extracted from Indian folk music containing...
This dataset is a collection of mel-spectrogram features extracted from Indian regional music contai...
This dataset contains the multitask annotation for the Raags in the Carnatic style of Indian classic...
This dataset is a collection of CSV files that include the time interval annotations of Nyas swara p...
This dataset includes the transcriptions of Hindustani classical music recordings. The music recordi...
This dataset contains the multitask annotation for the Ragas in the Carnatic style of Indian classic...
This dataset is a collection of CSV files that include the time interval annotations of Alankars (or...
We introduce two large open data collections of Indian Art Music, both its Carnatic and Hindustani t...
Research corpora are representative collections of data and are essential to develop data-driven app...
Dataset introduction This repository contains time aligned melody, rhythm, and structural annotatio...
AbstractIn this paper we present the effect of four feature selection algorithms namely genetic algo...
Rāga recognition datasets comprise two sizable datasets, one for each music tradition, Carnatic musi...
Introduction These datasets comprise audio excerpts and manually done annotations of the tonic pitc...
Comunicació presentada a la International Computer Music Conference, ICMC/SMC, celebrada a Atenes (G...
Dataset Introduction: The repository contains Hindustani alankaars and ragas sung by two female voca...
This dataset is a collection of mel-spectrogram features extracted from Indian folk music containing...
This dataset is a collection of mel-spectrogram features extracted from Indian regional music contai...
This dataset contains the multitask annotation for the Raags in the Carnatic style of Indian classic...
This dataset is a collection of CSV files that include the time interval annotations of Nyas swara p...
This dataset includes the transcriptions of Hindustani classical music recordings. The music recordi...
This dataset contains the multitask annotation for the Ragas in the Carnatic style of Indian classic...
This dataset is a collection of CSV files that include the time interval annotations of Alankars (or...
We introduce two large open data collections of Indian Art Music, both its Carnatic and Hindustani t...
Research corpora are representative collections of data and are essential to develop data-driven app...
Dataset introduction This repository contains time aligned melody, rhythm, and structural annotatio...
AbstractIn this paper we present the effect of four feature selection algorithms namely genetic algo...
Rāga recognition datasets comprise two sizable datasets, one for each music tradition, Carnatic musi...
Introduction These datasets comprise audio excerpts and manually done annotations of the tonic pitc...
Comunicació presentada a la International Computer Music Conference, ICMC/SMC, celebrada a Atenes (G...
Dataset Introduction: The repository contains Hindustani alankaars and ragas sung by two female voca...