3 papers
eess.AS2026
Endpoint Anticipation for Low-Latency Spoken Dialogue
Sathvik Udupa, Shinji Watanabe, Petr Schwarz +1
While low-latency interaction is critical for spoken dialogue, cascaded architectures are often bottlenecked by reactive turn-completion detection. We propose Endpoint Anticipation…
cs.CL2026
FLiP: Towards understanding and interpreting multimodal multilingual sentence embeddings
Santosh Kesiraju, Bolaji Yusuf, Šimon Sedláček +2
This paper presents factorized linear projection (FLiP) models for understanding pretrained sentence embedding spaces. We train FLiP models to recover the lexical content from mult…
cs.SD2025
Streaming Endpointer for Spoken Dialogue using Neural Audio Codecs and Label-Delayed Training
Sathvik Udupa, Shinji Watanabe, Petr Schwarz +1
Accurate, low-latency endpointing is crucial for effective spoken dialogue systems. While traditional endpointers often rely on spectrum-based audio features, this work proposes re…