Detail publikace

Speaker adaptation for Wav2vec2 based dysarthric ASR

BASKAR, M. HERZIG, T. NGUYEN, D. DIEZ SÁNCHEZ, M. POLZEHL, T. BURGET, L. ČERNOCKÝ, J.

Originální název

Speaker adaptation for Wav2vec2 based dysarthric ASR

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Dysarthric speech recognition has posed major challenges due to lack of training data and heavy mismatch in speaker characteristics. Recent ASR systems have benefited from readily available pretrained models such as wav2vec2 to improve the recognition performance. Speaker adaptation using fMLLR and xvectors have provided major gains for dysarthric speech with very little adaptation data. However, integration of wav2vec2 with fMLLR features or xvectors during wav2vec2 finetuning is yet to be explored. In this work, we propose a simple adaptation network for fine-tuning wav2vec2 using fMLLR features. The adaptation network is also flexible to handle other speaker adaptive features such as xvectors. Experimental analysis show steady improvements using our proposed approach across all impairment severity levels and attains 57.72% WER for high severity in UASpeech dataset. We also performed experiments on German dataset to substantiate the consistency of our proposed approach across diverse domains.

Klíčová slova

Dysarthria, self-supervision, ASR, wav2vec2, fMLLR, xvectors, speaker adaptation

Autoři

BASKAR, M.; HERZIG, T.; NGUYEN, D.; DIEZ SÁNCHEZ, M.; POLZEHL, T.; BURGET, L.; ČERNOCKÝ, J.

Vydáno

18. 9. 2022

Nakladatel

International Speech Communication Association

Místo

Incheon

ISSN

1990-9772

Periodikum

Proceedings of Interspeech

Ročník

9

Číslo

9

Stát

Francouzská republika

Strany od

3403

Strany do

3407

Strany počet

5

URL

BibTex

@inproceedings{BUT179866,
  author="Murali Karthick {Baskar} and Tim {Herzig} and Diana {Nguyen} and Mireia {Diez Sánchez} and Tim {Polzehl} and Lukáš {Burget} and Jan {Černocký}",
  title="Speaker adaptation for Wav2vec2 based dysarthric ASR",
  booktitle="Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH",
  year="2022",
  journal="Proceedings of Interspeech",
  volume="9",
  number="9",
  pages="3403--3407",
  publisher="International Speech Communication Association",
  address="Incheon",
  doi="10.21437/Interspeech.2022-10896",
  issn="1990-9772",
  url="https://www.isca-speech.org/archive/pdfs/interspeech_2022/baskar22b_interspeech.pdf"
}

Dokumenty