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Graph-structured data are observations associated with a graph structure in which vertices and edges describe some kind of data correlation. This paper proposes a regression method for graph-structure
With the increasing scale and dynamics of data, distributed online optimization has become essential for real-time decision-making in various applications. However, existing algorithms often rely on b
Deep learning-based Sound Event Localization and Detection (SELD) systems suffer severe performance degradation in real-world, long-tailed acoustic environments. Standard continuous regression objecti
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
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
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
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
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
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
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
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The IEEE Signal Processing Society is dedicated to supporting the professional growth and career advancement of its members in the dynamic field of signal processing. Learn More
Signal processing education and professional development program for all career levels. Learn more.