articleMar 1, 2010Closed access

A short-time objective intelligibility measure for time-frequency weighted noisy speech

Delft University of Technology · Oticon Medical (Denmark)

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Abstract

Existing objective speech-intelligibility measures are suitable for several types of degradation, however, it turns out that they are less appropriate for methods where noisy speech is processed by a time-frequency (TF) weighting, e.g., noise reduction and speech separation. In this paper, we present an objective intelligibility measure, which shows high correlation (rho=0.95) with the intelligibility of both noisy, and TF-weighted noisy speech. The proposed method shows significantly better performance than three other, more sophisticated, objective measures. Furthermore, it is based on an intermediate intelligibility measure for short-time (approximately 400 ms) TF-regions, and uses a simple DFT-based…

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Authors

4

Topics & keywords

Keywords
  • Intelligibility (philosophy)
  • Speech recognition
  • Weighting
  • Computer science
  • MATLAB
  • Measure (data warehouse)
  • Time–frequency analysis
  • Speech enhancement
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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