Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Beyond Voice Activity Detection: Hybrid Audio Segmentation for Direct
  Speech Translation   The audio segmentation mismatch between training data and those seen at
run-time is a major problem in direct speech translation. Indeed, while systems
are usually trained on manually segmented corpora, in real use cases they are
often presented with continuous audio requiring automatic (and sub-optimal)
segmentation. After comparing existing techniques (VAD-based, fixed-length and
hybrid segmentation methods), in this paper we propose enhanced hybrid
solutions to produce better results without sacrificing latency. Through
experiments on different domains and language pairs, we show that our methods
outperform all the other techniques, reducing by at least 30% the gap between
the traditional VAD-based approach and optimal manual segmentation.

24
The categories of this paper are: dg-ga
34
The categories of this paper are: chem-ph
9
The categories of this paper are: nlin
21
The categories of this paper are: adap-org
20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
25
The categories of this paper are: patt-sol
0
The categories of this paper are: hep-ph
23
The categories of this paper are: solv-int
12
The categories of this paper are: nucl-th
18
The categories of this paper are: econ
8
The categories of this paper are: hep-ex
32
The categories of this paper are: atom-ph
28
The categories of this paper are: alg-geom
2
The categories of this paper are: math
31
The categories of this paper are: ao-sci