18 citations · 36 across the 8 of their papers we have counts for
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eess.AS2020★ 18 cited
Optimizing Short-Time Fourier Transform Parameters via Gradient Descent
An Zhao, Krishna Subramani, Paris Smaragdis
The Short-Time Fourier Transform (STFT) has been a staple of signal processing, often being the first step for many audio tasks. A very familiar process when using the STFT is the…
eess.AS2020★ 2 cited
HpRNet : Incorporating Residual Noise Modeling for Violin in a Variational Parametric Synthesizer
Krishna Subramani, Preeti Rao
Generative Models for Audio Synthesis have been gaining momentum in the last few years. More recently, parametric representations of the audio signal have been incorporated to faci…
eess.AS2020★ 11 cited
VaPar Synth -- A Variational Parametric Model for Audio Synthesis
Krishna Subramani, Preeti Rao, Alexandre D'Hooge
With the advent of data-driven statistical modeling and abundant computing power, researchers are turning increasingly to deep learning for audio synthesis. These methods try to mo…