Detail publikace

BCN2BRNO: ASR System Fusion for Albayzin 2020 Speech to Text Challenge

KOCOUR, M. CÁMBARA, G. LUQUE, J. BONET, D. FARRÚS, M. KARAFIÁT, M. VESELÝ, K. ČERNOCKÝ, J.

Originální název

BCN2BRNO: ASR System Fusion for Albayzin 2020 Speech to Text Challenge

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

This paper describes the joint effort of BUT and Telefónica Researchon the development of Automatic Speech Recognitionsystems for the Albayzin 2020 Challenge. We compare approachesbased on either hybrid or end-to-end models. In hybridmodelling, we explore the impact of a SpecAugment layeron performance. For end-to-end modelling, we used a convolutionalneural network with gated linear units (GLUs). Theperformance of such model is also evaluated with an additionaln-gram language model to improve word error rates. We furtherinspect source separation methods to extract speech fromnoisy environments (i.e. TV shows). More precisely, we assessthe effect of using a neural-based music separator named Demucs.A fusion of our best systems achieved 23.33% WER inofficial Albayzin 2020 evaluations. Aside from techniques usedin our final submitted systems, we also describe our efforts inretrieving high-quality transcripts for training.

Klíčová slova

fusion, end-to-end model, hybrid model, semisupervised,automatic speech recognition, convolutional neuralnetwork.

Autoři

KOCOUR, M.; CÁMBARA, G.; LUQUE, J.; BONET, D.; FARRÚS, M.; KARAFIÁT, M.; VESELÝ, K.; ČERNOCKÝ, J.

Vydáno

24. 3. 2021

Nakladatel

International Speech Communication Association

Místo

Vallaloid

Strany od

113

Strany do

117

Strany počet

5

URL

BibTex

@inproceedings{BUT175823,
  author="KOCOUR, M. and CÁMBARA, G. and LUQUE, J. and BONET, D. and FARRÚS, M. and KARAFIÁT, M. and VESELÝ, K. and ČERNOCKÝ, J.",
  title="BCN2BRNO: ASR System Fusion for Albayzin 2020 Speech to Text Challenge",
  booktitle="Proceedings of IberSPEECH 2021",
  year="2021",
  pages="113--117",
  publisher="International Speech Communication Association",
  address="Vallaloid",
  doi="10.21437/IberSPEECH.2021-24",
  url="https://www.isca-speech.org/archive/iberspeech_2021/kocour21_iberspeech.html"
}

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