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SZŐKE, I. KESIRAJU, S. NOVOTNÝ, O. KOCOUR, M. VESELÝ, K. ČERNOCKÝ, J.
Original Title
Detecting English Speech in the Air Traffic Control Voice Communication
Type
conference paper
Language
English
Original Abstract
Developing in-cockpit voice enabled applications require a realworld dataset with labels and annotations. We launched a community platform for collecting the Air-Traffic Control (ATC) speech, world-wide in the ATCO2 project. Filtering out non- English speech is one of the main components in the data processing pipeline. The proposed English Language Detection (ELD) system is based on the embeddings from Bayesian subspace multinomial model. It is trained on the word confusion network from an ASR system. It is robust, easy to train, and light weighted. We achieved 0:0439 equal-error-rate (EER), a 50% relative reduction as compared to the state-of-the-art acoustic ELD system based on x-vectors, in the in-domain scenario. Further, we achieved an EER of 0:1352, a 33% relative reduction as compared to the acoustic ELD, in the unseen language (out-of-domain) condition. We plan to publish the evaluation dataset from the ATCO2 project.
Keywords
speech recognition, language detection, x-vector extractor, acoustic model, air-traffic communication, data collection, text embeddings, Bayesian methods
Authors
SZŐKE, I.; KESIRAJU, S.; NOVOTNÝ, O.; KOCOUR, M.; VESELÝ, K.; ČERNOCKÝ, J.
Released
30. 8. 2021
Publisher
International Speech Communication Association
Location
Brno
ISBN
1990-9772
Periodical
Proceedings of Interspeech
Year of study
2021
Number
8
State
French Republic
Pages from
3286
Pages to
3290
Pages count
5
URL
https://www.isca-speech.org/archive/interspeech_2021/szoke21_interspeech.html
BibTex
@inproceedings{BUT175844, author="Igor {Szőke} and Santosh {Kesiraju} and Ondřej {Novotný} and Martin {Kocour} and Karel {Veselý} and Jan {Černocký}", title="Detecting English Speech in the Air Traffic Control Voice Communication", booktitle="Proceedings Interspeech 2021", year="2021", journal="Proceedings of Interspeech", volume="2021", number="8", pages="3286--3290", publisher="International Speech Communication Association", address="Brno", doi="10.21437/Interspeech.2021-1033", issn="1990-9772", url="https://www.isca-speech.org/archive/interspeech_2021/szoke21_interspeech.html" }