Boosting of Contextual Information in ASR for Air-Traffic Call-Sign Recognition

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F21%3APU142968" target="_blank" >RIV/00216305:26230/21:PU142968 - isvavai.cz</a>

Result on the web

<a href="https://www.isca-speech.org/archive/interspeech_2021/kocour21_interspeech.html" target="_blank" >https://www.isca-speech.org/archive/interspeech_2021/kocour21_interspeech.html</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.21437/Interspeech.2021-1619" target="_blank" >10.21437/Interspeech.2021-1619</a>

Result language

angličtina

Original language name

Boosting of Contextual Information in ASR for Air-Traffic Call-Sign Recognition

Original language description

Contextual adaptation of ASR can be very beneficial for multiaccent and often noisy Air-Traffic Control (ATC) speech. Our focus is call-sign recognition, which can be used to track conversations of ATC operators with individual airplanes. We developed a two-stage boosting strategy, consisting of HCLG boosting and Lattice boosting. Both are implemented as WFST compositions and the contextual information is specific to each utterance. In HCLG boosting we give score discounts to individual words, while in Lattice boosting the score discounts are given to word sequences. The context data have origin in surveillance database of OpenSky Network. From this, we obtain lists of call-signs that are made more likely to appear in the best hypothesis of ASR. This also improves the accuracy of the NLU module that recognizes the call-signs from the best hypothesis of ASR. As part of ATCO2 project, we collected liveatc test set2. The boosting of call-signs leads to 4.7% absolute WER improvement and 27.1% absolute increase of Call-Sign recognition Accuracy (CSA). Our best result of 82.9% CSA is quite good, given that the data is noisy, and WER 28.4% is relatively high. We believe there is still room for improvement.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings Interspeech 2021

ISBN

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ISSN

1990-9772

e-ISSN

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Number of pages

5

Pages from-to

3301-3305

Publisher name

International Speech Communication Association

Place of publication

Brno

Event location

Brno

Event date

Aug 30, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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