כתבה
arXiv cs.CL ·
גילוי לחץ משפטי חדש
A Novel Sentence Stress Detection Framework Leveraging Auxiliary Word-Stress Modeling and Loss Optimization
חוקרים פיתחו שיטה חדשה לזיהוי לחץ משפטי, המשלבת מודלים עזרים ללחץ מילים. השיטה הוכחה כיעילה בניסויים.
תקציר מקורי באנגליתarXiv:2610.07626v1 Announce Type: cross Abstract: Prosodic stress is a crucial aspect of automatic pronunciation assessment (APA), encompassing both sentence stress detection (SSD) and word stress detection (WSD). SSD highlights semantically salient words that shape discourse meaning, while WSD identifies the primary stressed syllable within each word to ensure lexical clarity. However, most prior work treats SSD and WSD as independent tasks, overlooking their shared reliance on prosodic cues such as pitch, duration, and intensity. To address this gap, we propose an effective SSD approach combining SSD with auxiliary WSD via a novel modeling paradigm. In addition, we introduce a word-span stress regularizer (WSR) that concentrates token-level SSD probabilities within each stressed word spa
קרא במקור המקורי
arxiv.org
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