Generative Audio Synthesis with a Parametric Model. - Krishna Subramani; Alexandre D'Hooge; Preeti Rao (CoRR, 2019)

Vapar Synth - A Variational Parametric Model for Audio Synthesis. - Krishna Subramani; Preeti Rao; Alexandre D'Hooge (ICASSP, 2020)

HpRNet : Incorporating Residual Noise Modeling for Violin in a Variational Parametric Synthesizer. - Krishna Subramani; Preeti Rao (CoRR, 2020)

Optimizing Short-Time Fourier Transform Parameters via Gradient Descent. - An Zhao; Krishna Subramani; Paris Smaragdis (ICASSP, 2021)

Point Cloud Audio Processing. - Krishna Subramani; Paris Smaragdis (WASPAA, 2021)

End-to-end LPCNet: A Neural Vocoder With Fully-Differentiable LPC Estimation. - Krishna Subramani; Jean-Marc Valin; Umut Isik; Paris Smaragdis; Arvindh Krishnaswamy (INTERSPEECH, 2022)

Unsupervised Improvement of Audio-Text Cross-Modal Representations. - Zhepei Wang; Cem Subakan; Krishna Subramani; Junkai Wu; Tiago Tavares; Fábio Ayres; Paris Smaragdis (WASPAA, 2023)

Noise-Robust DSP-Assisted Neural Pitch Estimation With Very Low Complexity. - Krishna Subramani; Jean-Marc Valin; Jan Büthe; Paris Smaragdis; Mike Goodwin (ICASSP, 2024)

Rethinking Non-Negative Matrix Factorization with Implicit Neural Representations. - Krishna Subramani; Paris Smaragdis; Takuya Higuchi; Mehrez Souden (CoRR, 2024)

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA. - Shayan K. Azmoodeh; Krishna Subramani; Paris Smaragdis (CoRR, 2025)