Detail výsledku
Listen only to me! How well can target speech extraction handle false alarms?
Kinoshita Keisuke, FIT (FIT)
OCHIAI, T.
Žmolíková Kateřina, Ing., Ph.D.
Sato Hiroshi
Nakatani Tomohiro, FIT (FIT)
Target speech extraction (TSE) extracts the speech of a target
speaker in a mixture given auxiliary clues characterizing the
speaker, such as an enrollment utterance. TSE addresses thus
the challenging problem of simultaneously performing separation
and speaker identification. There has been much progress
in extraction performance following the recent development of
neural networks for speech enhancement and separation. Most
studies have focused on processing mixtures where the target
speaker is actively speaking. However, the target speaker is
sometimes silent in practice, i.e., inactive speaker (IS). A typical
TSE system will tend to output a signal in IS cases, causing
false alarms. This is a severe problem for the practical deployment
of TSE systems. This paper aims at understanding better
how well TSE systems can handle IS cases. We consider two
approaches to deal with IS, (1) training a system to directly output
zero signals or (2) detecting IS with an extra speaker verification
module. We perform an extensive experimental comparison
of these schemes in terms of extraction performance and IS
detection using the LibriMix dataset and reveal their pros and
cons.
Speech enhancement, Target speech extraction,
Inactive speaker
@inproceedings{BUT179867,
author="DELCROIX, M. and KINOSHITA, K. and OCHIAI, T. and ŽMOLÍKOVÁ, K. and SATO, H. and NAKATANI, T.",
title="Listen only to me! How well can target speech extraction handle false alarms?",
booktitle="Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH",
year="2022",
journal="Proceedings of Interspeech",
number="9",
pages="216--220",
publisher="International Speech Communication Association",
address="Incheon",
doi="10.21437/Interspeech.2022-11252",
issn="1990-9772",
url="https://www.isca-speech.org/archive/pdfs/interspeech_2022/delcroix22_interspeech.pdf"
}