Intelligibility-enhancing speech modifications - The Hurricane challenge 2.0

Jan Rennies, Henning Schepker, Cassia Valentini-Botinhao, Martin Cooke

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

Abstract / Description of output

Understanding speech played back in noisy and reverberant conditions remains a challenging task. This paper describes the Hurricane Challenge 2.0, the second large-scale evaluation of algorithms aiming to solve the near-end listening enhancement problem. The challenge consisted of modifying German, English, and Spanish speech, which was then evaluated by a total of 187 listeners at three sites. Nine algorithms participated in the challenge. Results indicate a large variability in performance between the algorithms, and that some entries achieved large speech intelligibility benefits. The largest observed benefits corresponded to intensity changes of about 7 dB, which exceeded the results obtained in the previous challenge despite more complex listening conditions. A priori information about the acoustic conditions did not provide a general advantage.

Original languageEnglish
Title of host publicationProceedings Interspeech 2020
PublisherInternational Speech Communication Association
Pages1341-1345
Number of pages5
Volume2020-October
DOIs
Publication statusPublished - 25 Oct 2020
EventInterspeech 2020 - Virtual Conference, China
Duration: 25 Oct 202029 Oct 2020
http://www.interspeech2020.org/

Publication series

Name
PublisherInternational Speech Communication Association
ISSN (Electronic)1990-9772

Conference

ConferenceInterspeech 2020
Abbreviated titleINTERSPEECH 2020
Country/TerritoryChina
CityVirtual Conference
Period25/10/2029/10/20
Internet address

Keywords / Materials (for Non-textual outputs)

  • Intelligibility
  • Speech enhancement

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