Challenges and Opportunities in Multi-device Speech Processing

Gregory Ciccarelli, Jarred Barber, Arun Nair, Israel Cohen, Tao Zhang

Research output: Contribution to journalConference articlepeer-review

Abstract

We review current solutions and technical challenges for automatic speech recognition, keyword spotting, device arbitration, speech enhancement, and source localization in multi-device home environments to provide context for the INTERSPEECH 2022 special session, “Challenges and opportunities for signal processing and machine learning for multiple smart devices”. We also identify the datasets needed to support these research areas. Based on the review and our research experience in the multi-device domain, we conclude with an outlook on the future evolution of multiple device signal processing and machine learning.

Original languageEnglish
Pages (from-to)709-713
Number of pages5
JournalProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Volume2022-September
DOIs
StatePublished - 2022
Externally publishedYes
Event23rd Annual Conference of the International Speech Communication Association, INTERSPEECH 2022 - Incheon, Korea, Republic of
Duration: 18 Sep 202222 Sep 2022

Keywords

  • Speech recognition
  • arbitration
  • keyword spotting
  • speech enhancement

All Science Journal Classification (ASJC) codes

  • Language and Linguistics
  • Human-Computer Interaction
  • Signal Processing
  • Software
  • Modelling and Simulation

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