Hi, I'm Darius!
Current Role
I am a Research Scientist at Netflix, working on Speech and Audio. Previously, I was an Applied Scientist at Amazon AGI on the Audio Foundation Model team, working on audio understanding and reasoning.
Recent Highlights
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New paper accepted for publication in IEEE/ACM TASLP
HE-NAC: High-Efficiency Neural Audio Coding via Hierarchical and Residual Multi-Band Quantization improves compression efficiency and audio quality through a hierarchical, residual approach.
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Joined Netflix as a Research Scientist
I am working on generative AI for speech and audio in the context of games.
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Earned my PhD from Indiana University
My dissertation, Efficient Native Neural Sub-Band Coding Through Residual Feature Representation Within Hyper-Autoencoded Reconstruction Propagation Networks, is available through ProQuest.
Research Focus
My research focuses on audio and speech source separation and neural audio coding, with additional work in audio classification, automatic speech recognition, and generative modeling. I have published in venues such as IEEE Transactions, ICASSP, WASPAA, and ISMIR.
Background
I earned my PhD in Intelligent Systems Engineering from Indiana University, advised by Dr. Minje Kim.
Before my PhD, I worked as a full-time engineer on the Apple Music Apps Team (Logic Pro, GarageBand). During my PhD, I completed research internships at:
