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Section: Publications & Resources
While large language models (LLMs) have achieved impressive gains in commonsense reasoning, they often fall into “associative shortcuts,” failing to distinguish correct answers from plausible but cons
PRP: Procedural-to-Real Masked Pre-Training for Transferable and Interpretable Audio Representations
Section: Publications & Resources
Self-supervised audio models are typically pre-trained on large collections of real-world recordings, and the resulting representations may be shaped by the acoustic coverage, recording conditions, an
Section: Publications & Resources
Speech deepfake detection (SDD) is essential for maintaining trust in voice-driven technologies and digital media. Although recent SDD systems increasingly rely on self-supervised learning (SSL) repre
Section: Publications & Resources
Voice Activity Detection (VAD) is a fundamental component that supports a wide range of audio/speech processing applications. Numerous studies have addressed VAD using a single microphone or a compact
Section: Publications & Resources
Audio-visual Sound Event Localization and Detection with Source Distance Estimation (AV 3D SELD) is designed to use synchronized audio-visual streams to simultaneously identify event categories, 3D sp
Section: Publications & Resources
Sound field estimation with moving microphones can increase flexibility, decrease measurement time, and reduce equipment constraints compared to using stationary microphones. In this paper a kernel ri
Section: Publications & Resources
Controlled multichannel room impulse response (RIR) simulation supports the analysis and evaluation of coherence-sensitive microphone-array methods under explicitly stated modeling assumptions. Two la
Section: Publications & Resources
Although front-end speech enhancement can improve automatic speech recognition (ASR) robustness, its practical deployment under frozen recognizers is often limited by within-block sequential dependenc
Section: Publications & Resources
Publication: IEEE Open Journal of Signal Processing
To address the limitations of conventional ECG monitoring, including the need for direct skin contact, discomfort during long-term use, and limited applicability in special monitoring scenarios, this
Section: Publications & Resources
Publication: IEEE Transactions on Image Processing
Deep Neural Networks (DNNs) remain vulnerable to adversarial perturbations, raising significant concerns in image processing applications, particularly in high-stakes domains such as medical imaging a
