Publication detail

Auxiliary Loss Function for Target Speech Extraction and Recognition with Weak Supervision Based on Speaker Characteristics

ŽMOLÍKOVÁ, K. DELCROIX, M. RAJ, D. WATANABE, S. ČERNOCKÝ, J.

Original Title

Auxiliary Loss Function for Target Speech Extraction and Recognition with Weak Supervision Based on Speaker Characteristics

Type

conference paper

Language

English

Original Abstract

Automatic speech recognition systems deteriorate in presence of overlapped speech. A popular approach to alleviate this is target speech extraction. The extraction system is usually trained with a loss function measuring the discrepancy between the estimated and the reference target speech. This often leads to distortions to the target signal which is detrimental to the recognition accuracy. Additionally, it is necessary to have the strong supervision provided by parallel data consisting of speech mixtures and single-speaker signals. We propose an auxiliary loss function for retraining the target speech extraction. It is composed of two parts: first, a speaker identity loss, forcing the estimated speech to have correct speaker characteristics, and second, a mixture consistency loss, making the extracted sources sum back to the original mixture. The only supervision required for the proposed loss is speaker characteristics obtained from several segments spoken by the target speaker. Such weak supervision makes the loss suitable for adapting the system directly on real recordings. We show that the proposed loss yields signals more suitable for speech recognition and further, we can gain additional improvements by adaptation to target data. Overall, we can reduce the word error rate on LibriCSS dataset from 27.4% to 24.0%.

Keywords

Target speech extraction, SpeakerBeam, Weakly supervised loss, Long recordings

Authors

ŽMOLÍKOVÁ, K.; DELCROIX, M.; RAJ, D.; WATANABE, S.; 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

1464

Pages to

1468

Pages count

5

URL

https://www.isca-speech.org/archive/interspeech_2021/zmolikova21_interspeech.html

BibTex

@inproceedings{BUT175837,
  author="ŽMOLÍKOVÁ, K. and DELCROIX, M. and RAJ, D. and WATANABE, S. and ČERNOCKÝ, J.",
  title="Auxiliary Loss Function for Target Speech Extraction and Recognition with Weak Supervision Based on Speaker Characteristics",
  booktitle="Proceedings of 2021 Interspeech",
  year="2021",
  journal="Proceedings of Interspeech",
  volume="2021",
  number="8",
  pages="1464--1468",
  publisher="International Speech Communication Association",
  address="Brno",
  doi="10.21437/Interspeech.2021-986",
  issn="1990-9772",
  url="https://www.isca-speech.org/archive/interspeech_2021/zmolikova21_interspeech.html"
}