This dataset contains the multitask annotation for the Ragas in the Carnatic style of Indian classical music. The multitasks present in the dataset are the Swaras set, Melakarta set, Aaroh set, Avroh set, Janak/janya, and Raag Id. The music for extracting the mel-spectrogram feature is taken from the Dunya corpus [1]. The dataset contains 40 Ragas, and each contains 12 music recordings. [1] Porter, Alastair, Mohamed Sordo, and Xavier Serra. "Dunya: A system for browsing audio music collections exploiting cultural context." Britto A, Gouyon F, Dixon S. 14th International Society for Music Information Retrieval Conference (ISMIR); 2013 Nov 4-8; Curitiba, Brazil.[place unknown]: ISMIR; 2013. p. 101-6.. International Society for Music Informa...
This repository contains the Saraga-Carnatic-Melody-Synth (SCMS), a dataset focusing on time-aligned...
Music recommendation and discovery is an important MIR application with a strong impact in the music...
In this paper we describe the data gathering work done within a large research project, CompMusic, w...
This dataset contains the multitask annotation for the Raags in the Carnatic style of Indian classic...
We introduce two large open data collections of Indian Art Music, both its Carnatic and Hindustani t...
This dataset is a collection of CSV files that include the time interval annotations of Alankars (or...
This dataset is a collection of CSV files that include the time interval annotations of Nyas swara p...
Research corpora are representative collections of data and are essential to develop data-driven app...
Comunicació presentada a la International Computer Music Conference, ICMC/SMC, celebrada a Atenes (G...
This dataset is a collection of mel-spectrogram features extracted from Indian semi-classical music ...
This dataset is a collection of mel-spectrogram features extracted from Indian regional music contai...
Dataset introduction This repository contains time aligned melody, rhythm, and structural annotatio...
CompMusic Carnatic Rhythm Dataset is a rhythm annotated test corpus for automatic rhythm analysis ta...
Rāga recognition datasets comprise two sizable datasets, one for each music tradition, Carnatic musi...
This dataset is a collection of mel-spectrogram features extracted from Indian folk music containing...
This repository contains the Saraga-Carnatic-Melody-Synth (SCMS), a dataset focusing on time-aligned...
Music recommendation and discovery is an important MIR application with a strong impact in the music...
In this paper we describe the data gathering work done within a large research project, CompMusic, w...
This dataset contains the multitask annotation for the Raags in the Carnatic style of Indian classic...
We introduce two large open data collections of Indian Art Music, both its Carnatic and Hindustani t...
This dataset is a collection of CSV files that include the time interval annotations of Alankars (or...
This dataset is a collection of CSV files that include the time interval annotations of Nyas swara p...
Research corpora are representative collections of data and are essential to develop data-driven app...
Comunicació presentada a la International Computer Music Conference, ICMC/SMC, celebrada a Atenes (G...
This dataset is a collection of mel-spectrogram features extracted from Indian semi-classical music ...
This dataset is a collection of mel-spectrogram features extracted from Indian regional music contai...
Dataset introduction This repository contains time aligned melody, rhythm, and structural annotatio...
CompMusic Carnatic Rhythm Dataset is a rhythm annotated test corpus for automatic rhythm analysis ta...
Rāga recognition datasets comprise two sizable datasets, one for each music tradition, Carnatic musi...
This dataset is a collection of mel-spectrogram features extracted from Indian folk music containing...
This repository contains the Saraga-Carnatic-Melody-Synth (SCMS), a dataset focusing on time-aligned...
Music recommendation and discovery is an important MIR application with a strong impact in the music...
In this paper we describe the data gathering work done within a large research project, CompMusic, w...