Harmonic Nature of Maddalam : - A Study

 The sound samples of different strokes of maddalam are analysed using MIR toolbox. The frequency spectrum, attack and decay parameters are studied. The reasons for the harmonic nature of maddalam are identified

Modal analysis and transcription of strokes of the mridangam using non-negative matrix factorization

In this paper we use a Non-negative Matrix Factorization/n(NMF) based approach to analyze the strokes of the mri-/ndangam, a South Indian hand drum, in terms of the normal/nmodes of the instrument. Using NMF, a dictionary of spectral/nbasis vectors are first created for each of the modes of the/nmridangam. The composition of the strokes are then studied/nby projecting them along the direction of the modes using/nNMF. We then extend this knowledge of each stroke in terms/nof its basic modes to transcribe audio recordings. Hidden/nMarkov Models are adopted to learn the modal activations for/neach of the strokes of the mridangam, yielding up to/n88,40%/naccuracy during transcription.This research/nwas partly funded by the European Research Council under the/nEuropean/nUnions Seventh Framework Program, as part of the CompMusic project/n(ERC grant agreement 267583)

Modal analysis and transcription of strokes of the mridangam using non-negative matrix factorization

In this paper we use a Non-negative Matrix Factorization/n(NMF) based approach to analyze the strokes of the mri-/ndangam, a South Indian hand drum, in terms of the normal/nmodes of the instrument. Using NMF, a dictionary of spectral/nbasis vectors are first created for each of the modes of the/nmridangam. The composition of the strokes are then studied/nby projecting them along the direction of the modes using/nNMF. We then extend this knowledge of each stroke in terms/nof its basic modes to transcribe audio recordings. Hidden/nMarkov Models are adopted to learn the modal activations for/neach of the strokes of the mridangam, yielding up to/n88,40%/naccuracy during transcription.This research/nwas partly funded by the European Research Council under the/nEuropean/nUnions Seventh Framework Program, as part of the CompMusic project/n(ERC grant agreement 267583)

Mridangam stroke dataset

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. /n/nA detailed description of the Mridangam and its strokes can be found in the paper below. A part of the dataset was used in the following paper. /nAkshay Anantapadmanabhan, Ashwin Bellur, Hema A. Murthy, "Modal analysis and transcription of strokes of the mridangam using non-negative matrix factorization," in Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), pp.181-185, May 2013./n/nThe whole dataset is organized by the tonic, into 6 packs in Freesound. The packs can be downloaded from the links below. /n/nB: http://www.freesound.org/people/akshaylaya/packs/14157//n/nC: http://www.freesound.org/people/akshaylaya/packs/14159//n/nC#: http://www.freesound.org/people/akshaylaya/packs/14160//n/nD: http://www.freesound.org/people/akshaylaya/packs/14161//n/nD#: http://www.freesound.org/people/akshaylaya/packs/14163//n/nE: http://www.freesound.org/people/akshaylaya/packs/14164//n/nEach audio file is named as, /n/n__.wav/n = {B, C, Csh, D, Dsh, E}/n = {Bheem, Cha, Dheem, Dhin, Num, Ta, Tha, Tham, Thi, Thom}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. The dataset can be used for training models for each Mridangam stroke