Search results
Enter terms
8501 results found.
Section: Publications & Resources
Automatic speech recognition (ASR) has been widely applied in intelligent assistants and voice services, and high-performance ASR models trained on large-scale speech data have become important commer
Section: Publications & Resources
In machine reading comprehension (MRC) tasks that involve complex logical reasoning, graph structures are often regarded as a more suitable representation paradigm than plain text sequences, owing to
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
Publication: IEEE Transactions on Computational Imaging
In recent years, deep learning-based light field (LF) super-resolution (SR) methods have significantly improved LF image quality. However, most existing LFSR rely on fixed bicubic downsampling to cons
Section: Publications & Resources
Publication: IEEE Transactions on Computational Imaging
Three-dimensional (3D) inverse synthetic aperture radar (ISAR) imaging significantly improves the target discriminability. However, in practical scenarios such as high sea states, the complex target m
