A relevance score estimation for spoken term detection based on RNN-generated pronunciation embeddings

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43932653" target="_blank" >RIV/49777513:23520/17:43932653 - isvavai.cz</a>
Result on the web
<a href="https://pdfs.semanticscholar.org/a8ad/654be9b7b1c3914ac69a697850fc4657473b.pdf" target="_blank" >https://pdfs.semanticscholar.org/a8ad/654be9b7b1c3914ac69a697850fc4657473b.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21437/Interspeech.2017-1087" target="_blank" >10.21437/Interspeech.2017-1087</a>

Result language
angličtina
Original language name
A relevance score estimation for spoken term detection based on RNN-generated pronunciation embeddings
Original language description
In this paper, we present a novel method for term score es- timation. The method is primarily designed for scoring the out-of-vocabulary terms, however it could also estimate scores for in-vocabulary results. The term score is computed as a co- sine distance of two pronunciation embeddings. The first one is generated from the grapheme representation of the searched term, while the second one is computed from the recognized phoneme confusion network. The embeddings are generated by specifically trained recurrent neural network built on the idea of Siamese neural networks. The RNN is trained from recognition results on word- and phone-level in an unsupervised fashion without need of any hand-labeled data. The method is evaluated on the MALACH data in two languages, English and Czech. The results are compared with two baseline methods for OOV term detection.
Czech name
—
Czech description
—

Project
<a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 18th Annual Conference of the International Speech Communication Association (Interspeech 2017)
ISBN
978-1-5108-4876-4
ISSN
1990-9772
e-ISSN
—
Number of pages
5
Pages from-to
2934-2938
Publisher name
Curran Associates, Inc.
Place of publication
Red Hook, NY
Event location
Stockholm, Sweden
Event date
Aug 20, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000457505000607

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