Publication detail

Lightly supervised vs. semi-supervised training of acoustic model on Luxembourgish for low-resource automatic speech recognition

VESELÝ, K. PERALES, C. SZŐKE, I. LUQUE, J. ČERNOCKÝ, J.

Original Title

Lightly supervised vs. semi-supervised training of acoustic model on Luxembourgish for low-resource automatic speech recognition

Type

conference paper

Language

English

Original Abstract

In this work, we focus on exploiting inexpensive data in order to to improve the DNN acoustic model for ASR. We explore two strategies: The first one uses untranscribed data from the target domain. The second one is related to the proper selection of excerpts from imperfectly transcribed out-of-domain public data, as parliamentary speeches. We found out that both approaches lead to similar results, making them equally beneficial for practical use. The Luxembourgish ASR seed system had a 38.8% WER and it improved by roughly 4% absolute, leading to 34.6% for untranscribed and 34.9% for lightlysupervised data. Adding both databases simultaneously led to 34.4% WER, which is only a small improvement. As a secondary research topic, we experiment with semi-supervised state-level minimum Bayes risk (sMBR) training. Nonetheless, for sMBR we saw no improvement from adding the automatically transcribed target data, despite that similar techniques yield good results in the case of cross-entropy (CE) training.

Keywords

Luxembourgish, call centers, speech recognition, low-resourced ASR, unsupervised training

Authors

VESELÝ, K.; PERALES, C.; SZŐKE, I.; LUQUE, J.; ČERNOCKÝ, J.

Released

2. 9. 2018

Publisher

International Speech Communication Association

Location

Hyderabad

ISBN

1990-9772

Periodical

Proceedings of Interspeech

Year of study

2018

Number

9

State

French Republic

Pages from

2883

Pages to

2887

Pages count

5

URL

https://www.isca-speech.org/archive/Interspeech_2018/abstracts/2361.html

BibTex

@inproceedings{BUT155104,
  author="VESELÝ, K. and PERALES, C. and SZŐKE, I. and LUQUE, J. and ČERNOCKÝ, J.",
  title="Lightly supervised vs. semi-supervised training of acoustic model on Luxembourgish for low-resource automatic speech recognition",
  booktitle="Proceedings of Interspeech 2018",
  year="2018",
  journal="Proceedings of Interspeech",
  volume="2018",
  number="9",
  pages="2883--2887",
  publisher="International Speech Communication Association",
  address="Hyderabad",
  doi="10.21437/Interspeech.2018-2361",
  issn="1990-9772",
  url="https://www.isca-speech.org/archive/Interspeech_2018/abstracts/2361.html"
}