activity
20232026
most citedLatent FxLMS: Accelerating Active Noise Control with Neural Adaptive Filters

2 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SP2026

Universal Short-Time Fourier Transform: Data-Adaptive Window-Length Selection for Time-Frequency Analysis

Manan Mittal, Kanad Sarkar, Ryan M. Corey +2

The short-time Fourier transform (STFT) characterizes the local frequency content of time-varying signals by evaluating the discrete Fourier transform over a sliding analysis windo…

eess.AS2026

P2Flow: Phoneme-aware Progressive Flow Matching for Extreme Speech Super-Resolution

Ningyuan Yang, Yize Li, Pu Zhao +5

Generative models have recently demonstrated considerable promise in speech super-resolution (SSR). Nevertheless, the majority of existing work has concentrated on standard or vers…

cs.LG2025★ 2 cited

Latent FxLMS: Accelerating Active Noise Control with Neural Adaptive Filters

Kanad Sarkar, Austin Lu, Manan Mittal +3

Filtered-X LMS (FxLMS) is commonly used for active noise control (ANC), wherein the soundfield is minimized at a desired location. Given prior knowledge of the spatial region of th…

eess.AS2025

Accelerating Audio Research with Robotic Dummy Heads

Austin Lu, Kanad Sarkar, Yongjie Zhuang +3

This work introduces a robotic dummy head that fuses the acoustic realism of conventional audiological mannequins with the mobility of robots. The proposed device is capable of mov…

eess.AS2023★ 1 cited

Mechatronic Generation of Datasets for Acoustics Research

Austin Lu, Ethaniel Moore, Arya Nallanthighall +5

We address the challenge of making spatial audio datasets by proposing a shared mechanized recording space that can run custom acoustic experiments: a Mechatronic Acoustic Research…