The Mridangam Stroke dataset is a collection of 7162 audio examples of individual strokes of the Mridangam in various tonics. The dataset comprises of 10 different strokes played on Mridangams with 6 different tonic values. Audio content The dataset provides audio examples for each of the strokes. There are six different tonics and ten different stroke labels. The audio examples were recorded from a professional Carnatic percussionist in a semi-anechoic studio conditions by Akshay Anantapadmanabhan using SM-58 microphones and an H4n ZOOM recorder. The audio was sampled at 44.1 kHz and stored as 16 bit wav files. The dataset can be used for training models for each Mridangam stroke. Metadata The whole dataset is organized by the tonic...
<p>Carnatic varnam dataset is a collection of 28 solo vocal recordings, recorded for our research on...
Research corpora are representative collections of data and are essential to develop data-driven app...
This dataset includes the transcriptions of Hindustani classical music recordings. The music recordi...
The Mridangam Stroke dataset is a collection of 6977 audio examples of individual strokes of the Mri...
The audio examples were recorded from a professional Carnatic percussionist in a semi-anechoic studi...
The Mridangam Tani-avarthanam dataset is a transcribed collection of two tani-avarthanams played by ...
The mridangam is a double-headed percussion instrument that plays a key role in Carnatic music conce...
In this paper, we use a data-driven approach for the tonic-independent transcription of strokes of t...
In this paper we use a Non-negative Matrix Factorization/n(NMF) based approach to analyz...
Comunicació presentada a la International Computer Music Conference, ICMC/SMC, celebrada a Atenes (G...
These datasets comprise audio excerpts and manually done annotations of the tonic pitch of the lead ...
Introduction These datasets comprise audio excerpts and manually done annotations of the tonic pitc...
Percussion instruments play a significant role in/nCarnatic music concerts. The percussion...
Dataset introduction This repository contains time aligned melody, rhythm, and structural annotatio...
This repository includes the audio for the Indian Art Music Tonic Datasets (https://zenodo.org/recor...
<p>Carnatic varnam dataset is a collection of 28 solo vocal recordings, recorded for our research on...
Research corpora are representative collections of data and are essential to develop data-driven app...
This dataset includes the transcriptions of Hindustani classical music recordings. The music recordi...
The Mridangam Stroke dataset is a collection of 6977 audio examples of individual strokes of the Mri...
The audio examples were recorded from a professional Carnatic percussionist in a semi-anechoic studi...
The Mridangam Tani-avarthanam dataset is a transcribed collection of two tani-avarthanams played by ...
The mridangam is a double-headed percussion instrument that plays a key role in Carnatic music conce...
In this paper, we use a data-driven approach for the tonic-independent transcription of strokes of t...
In this paper we use a Non-negative Matrix Factorization/n(NMF) based approach to analyz...
Comunicació presentada a la International Computer Music Conference, ICMC/SMC, celebrada a Atenes (G...
These datasets comprise audio excerpts and manually done annotations of the tonic pitch of the lead ...
Introduction These datasets comprise audio excerpts and manually done annotations of the tonic pitc...
Percussion instruments play a significant role in/nCarnatic music concerts. The percussion...
Dataset introduction This repository contains time aligned melody, rhythm, and structural annotatio...
This repository includes the audio for the Indian Art Music Tonic Datasets (https://zenodo.org/recor...
<p>Carnatic varnam dataset is a collection of 28 solo vocal recordings, recorded for our research on...
Research corpora are representative collections of data and are essential to develop data-driven app...
This dataset includes the transcriptions of Hindustani classical music recordings. The music recordi...