- π Recent Electrical & Computer Engineering (ML & Data Science track) M.S. grad from USC Viterbi.
- π§βπ» Previously:
- πΈ Core Research Area: machine learning for musical co-creativity.
- π Research Interests: generative audio modeling, controllable music generation, music information retrieval, speech synthesis, audiovisual learning.
- π« How to reach me: shantiystewart[at]gmail.com
π―
Focusing
Recent M.S. (ML) grad @ USC.
Research Interests: generative audio modeling, controllable music generation, speech synthesis, audiovisual learning.
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University of Southern California
- New York City
- https://shantistewart.github.io/
- in/shanti-stewart
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klean2050/VCMR
klean2050/VCMR Public[ICASSP 2023] Video-Conditioned Music Representations
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sampleCNN-configurable
sampleCNN-configurable PublicA configurable version of the SampleCNN model ("Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms"), implemented in PyTorch.
Python 2
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MUSIC-and-ESPRIT-Algorithms
MUSIC-and-ESPRIT-Algorithms PublicThis repository contains the implementations of the MUSIC and ESPRIT algorithms, which can be used for super-resolution spectral analysis.
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