Muting machine speech using audio watermarking

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Spoken dialog systems have become popular and are used in a home environment, such as smart speakers. A problem will occur when two or more smart speakers are in the same environment, in which a dialog system misdetects the other dialog systems voice as a users voice. In this paper, a method to mute synthesized speech is proposed to prevent a speech recognizer from recognizing speech uttered by a machine. The audio watermark technique is used to indicate that a machine utters the speech, and the speech recognizer attenuates the observed speech if it contains the watermark. The watermark is embedded in high frequency so that humans cannot perceive the watermark and the watermark is robustly extracted. From the experimental result, we found that the proposed method robustly determine the existence of the watermark when the SNR is no less than 0 dB.

Original languageEnglish
Title of host publicationRecent Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
EditorsLakhmi C. Jain, Lakhmi C. Jain, Pei-Wei Tsai, Akinori Ito, Jeng-Shyang Pan, Lakhmi C. Jain
PublisherSpringer Science and Business Media Deutschland GmbH
Pages74-81
Number of pages8
ISBN (Print)9783030037475
DOIs
Publication statusPublished - 2019 Jan 1
Event14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2018 - Sendai, Japan
Duration: 2018 Nov 262018 Nov 28

Publication series

NameSmart Innovation, Systems and Technologies
Volume110
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Other

Other14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2018
CountryJapan
CitySendai
Period18/11/2618/11/28

Keywords

  • Muting
  • Spoken dialog systems
  • Watermarking

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Computer Science(all)

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