Smart Speech Segmentation using Acousto-Linguistic Features with look-ahead. (arXiv:2210.14446v1 [cs.CL])

Segmentation for continuous Automatic Speech Recognition (ASR) has
traditionally used silence timeouts or voice activity detectors (VADs), which
are both limited to acoustic features. This segmentation is often overly
aggressive, given that people naturally pause to think as they speak.
Consequently, segmentation happens mid-sentence, hindering both punctuation and
downstream tasks like machine translation for which high-quality segmentation
is critical. Model-based segmentation methods that leverage acoustic features
are powerful, but without an understanding of the language itself, these
approaches are limited. …

arxiv features segmentation smart speech