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Content

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SpiN2017 - 9th Speech in Noise Workshop, 5-6 January 2017, Oldenburg, DE

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Binaural intelligibility prediction for noisy and non-linearly processed speech Asger Andersen(a)Oticon A/S / Aalborg University, Denmark(a) Presenting Speech intelligibility prediction is becoming an increasingly popular tool within the speech processing community, as an alternative to time consuming and costly listening experiments. The short-time objective intelligibility (STOI) measure has enjoyed particular popularity, due to its simplicity and high performance in a range of key scenarios. However, the STOI measure lacks the ability to predict binaural advantage (i.e. the advantage of listening with two ears in conditions with spatial separation between target and masker), which is important in many applications. We therefore propose a binaural version of the STOI measure, based on extending the STOI measure with a modified version of the equalization cancellation (EC) model. The binaural STOI measure is shown to retain many of the favorable properties of the ST...

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