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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 language | English |
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Title of host publication | Proceedings Interspeech 2020 |
Publisher | International Speech Communication Association |
Pages | 1341-1345 |
Number of pages | 5 |
Volume | 2020-October |
DOIs | |
Publication status | Published - 25 Oct 2020 |
Event | Interspeech 2020 - Virtual Conference, China Duration: 25 Oct 2020 → 29 Oct 2020 http://www.interspeech2020.org/ |
Publication series
Name | |
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Publisher | International Speech Communication Association |
ISSN (Electronic) | 1990-9772 |
Conference
Conference | Interspeech 2020 |
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Abbreviated title | INTERSPEECH 2020 |
Country/Territory | China |
City | Virtual Conference |
Period | 25/10/20 → 29/10/20 |
Internet address |
Keywords / Materials (for Non-textual outputs)
- Intelligibility
- Speech enhancement
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