Overlapped Speech Detection in Broadcast Streams Using X-vectors

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F22%3A00009899" target="_blank" >RIV/46747885:24220/22:00009899 - isvavai.cz</a>
Result on the web
<a href="https://www.isca-speech.org/archive/pdfs/interspeech_2022/mateju22_interspeech.pdf" target="_blank" >https://www.isca-speech.org/archive/pdfs/interspeech_2022/mateju22_interspeech.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21437/Interspeech.2022-81" target="_blank" >10.21437/Interspeech.2022-81</a>

Result language
angličtina
Original language name
Overlapped Speech Detection in Broadcast Streams Using X-vectors
Original language description
A new approach to overlapped speech detection (OSD) is introduced in this work. It is designed for real-time processing of streamed data and utilizes x-vectors as its input features. It thus allows us to reduce computational demands within the entire streaming data processing chain, where the same x-vectors can also be used for the related task of speaker diarization. Within our method, the x-vectors are extracted using a feed-forward sequential memory network (FSMN) and then fed into a simple neural classifier (speech or cross-talk), whose output is smoothed by a decoder based on weighted finite-state transducers (WFSTs). The evaluation is done on a Czech/Slovak broadcast dataset (we make this data public) and on the AMI meeting corpus. Our online method yields a solid performance while operating with a 2-second latency.
Czech name
—
Czech description
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Project
<a href="/en/project/TO01000027" target="_blank" >TO01000027: NORDTRANS - Technology for automatic speech transcription in selected Nordic languages</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
ISBN
—
ISSN
2308-457X
e-ISSN
—
Number of pages
4
Pages from-to
4606 - 4610
Publisher name
ISCA
Place of publication
Jižní Korea
Event location
Incheon, South Korea
Event date
Jan 1, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000900724504158

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