3 papers
eess.AS2026
Contextual Biasing for Streaming ASR via CTC-based Word Spotting
Kai-Chen Tsai, Tien-Hong Lo, Yun-Ting Sun +1
Contextual biasing is essential to improving the recognition of rare and domain-specific words in an automatic speech recognition (ASR) system. While numerous methods have been pro…
eess.AS2026
MALEFA: Multi-grAnularity Learning and Effective False Alarm Suppression for Zero-shot Keyword Spotting
Lo-Ya Li, Tien-Hong Lo, Jeih-Weih Hung +2
User-defined keyword spotting (KWS) without resorting to domain-specific pre-labeled training data is of fundamental importance in building adaptable and personalized voice interfa…
cs.SD2025
SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization
Chien-Chun Wang, En-Lun Yu, Jeih-Weih Hung +2
Voice activity detection (VAD) is essential for speech-driven applications, but remains far from perfect in noisy and resource-limited environments. Existing methods often lack rob…