9 papers
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…
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…
Underwater Acoustic Channel Library
Zhengnan Li, Mandar Chitre, Diego A. Cuji +4
The development of communication systems critically depends on realistic channel models, yet there are no widely accepted standards in the underwater acoustic communications commun…
MRMAD: A Multi-Round Multi-Audio Benchmark for Evaluating Acoustic Degradation Perception in Large Audio-Language Models
Yize Li, Ningyuan Yang, Sile Yin +6
Large audio-language models (LALMs) have shown promising progress in understanding speech, music, and general sound events, yet their ability to reason about how audio signals are…
A Switching Beamformer for Highly Non-Stationary Environments
Manan Mittal, Ryan M. Corey, John R. Buck +1
Adaptive beamforming is a cornerstone of array signal processing, yet its performance often collapses in the face of complex, rapidly changing interference. When interferers appear…
Time Segmented Beamforming via Dynamic Programming: Theory and Implementation
Manan Mittal, Ryan M. Corey, Diego Cuji +2
In dynamic acoustic environments with time-varying interferers, effective beamforming requires identifying stationary regions over time. The Capon beamformer, a whitened matched fi…
Online Segmented Beamforming via Dynamic Programming
Manan Mittal, Ryan M. Corey, Diego Cuji +2
In dynamic acoustic environments characterized by time-varying interferers and moving sources, effective beamforming requires accurately identifying stationary regions over time. T…
A Survey of Advancing Audio Super-Resolution and Bandwidth Extension from Discriminative to Generative Models
Ningyuan Yang, Yize Li, Diego A. Cuji +4
Audio super-resolution (SR), also referred to as bandwidth extension (BWE), aims to reconstruct high-fidelity signals from low-resolution (LR) or band-limited (BL) observations, an…
Transmit Beamforming for High-Rate Underwater Acoustic Communications
Diego A. Cuji, Andrew C. Singer, Milica Stojanovic
Transmit beamforming for underwater acoustic communications is challenging because channel state information must be obtained through feedback and may be noisy or outdated. In this…