The Automatic Speech recogition In Reverberant Environments (ASpIRE) challenge

@article{Harper2015TheAS,
  title={The Automatic Speech recogition In Reverberant Environments (ASpIRE) challenge},
  author={Mary Harper},
  journal={2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)},
  year={2015},
  pages={547-554}
}
In this paper, we describe the ASpIRE (Automatic Speech recognition In Reverberant Environments) challenge, which asked participants to construct automatic speech recognition systems that were robust to a variety of acoustic environments and recording scenarios without having access to matched training and development data. We discuss the performance of the systems evaluated in the challenge, summarize how those systems were constructed, and draw conclusions about what contributed to the… CONTINUE READING
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CSR-I (WSJ0) Complete

  • J. Garofalo, D. Graff, D. Paul, D. Pallett
  • Linguistic Data Consortium, 2007.
  • 2007
Highly Influential
5 Excerpts

Linguistic Data Consortium Transcription Guidelines (NQTR)

  • Linguistic Data Consortium
  • 2006 [online]. Available: https://catalog.ldc…
  • 2006
Highly Influential
3 Excerpts

IARPA Announces Winners of its ASpIRE Challenge

  • IARPA
  • 2015 [online]. Available: http://www.dni.gov…
  • 2015
1 Excerpt

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