Predicting and improving intelligibility of speech in noise Speechlab BV Problem: • Classical models (STI, SII) fail in correctly predicting intelligibility of (non-linear) processed noisy speech • Current (single mi - Speech transmission index - Document - PDFSEARCH.IO

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	Predicting and improving intelligibility of speech in noise Speechlab BV Problem: • Classical models (STI, SII) fail in correctly predicting intelligibility of (non-linear) processed noisy speech • Current (single mi Add to Reading List Document Date: 2010-01-18 09:59:00 Open Document File Size: 478,65 KB Share Result on Facebook Company Speechlab BV / / IndustryTerm noise reduction algorithm / noise-reduction algorithms / / Person Rolf Jan Rutten / Johannes Lyzenga Rolf / Tammo Houtgast / Finn Dubbelboer / / Technology S/N / noise reduction algorithm / noise-reduction algorithms / / SocialTag Sound Measurement Intelligibility Signal-to-noise ratio Speech Speech transmission index Waves Communication Hearing

Predicting and improving intelligibility of speech in noise Speechlab BV Problem: • Classical models (STI, SII) fail in correctly predicting intelligibility of (non-linear) processed noisy speech • Current (single miAdd to Reading List