JotCast | Science at the Sabha - Session 2

Science at the Sabha - Session 2

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Megha Anilkumar Nair

7:33

Drawing on the characteristics of Carnatic music of possessing stable pitch notes, Prof. Murthy plays recordings of various synthesis of the same Carnatic notes using machine-learning pitch extraction tools.

7:39

She concludes her talk by reflecting on the process used to examine the audio data. Prof. Murthy explains how some other models were employed to normalize the tonic of the audio data, which in turn, was fed into the deep learning models for pitch separation and raga identification.

7:43

Whether it be Carnatic music or Western music, music is always one of the best way to tell a story. Hema A Murthy, Indian Institute of Technology, Madras on Carnatic Music Processing: A Culture Specific approach.

#sats2023 #ACJLive #Music

7:51

Answering a question from the audience on the detection of an instrument played at a distance using machine learning paradigms, she expresses her skepticism, "It does not understand what it does. It just identifies patterns."

7:53

This brings the ‘Science at the Sabha 2023’ to a close. Hope the sessions were exciting. Thank you for staying with us.

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