Publication detail

Detecting English Speech in the Air Traffic Control Voice Communication

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"
}