Information based speech transduction


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Information based speech transduction

Vis færre oplysninger Juel Henrichsen, Peter 2011-11-09 2012-02-29T14:32:43Z 2012-02-29T14:32:43Z 2012-02-29
dc.description.abstract Modern hearing aids use a variety of advanced digital signal processing methods in order to improve speech intelligibility. These methods are based on knowledge about the acoustics outside the ear as well as psychoacoustics. We present a novel observation based on the fact that acoustic prominence is not equal to information prominence for time intervals at the syllabic and sub-syllabic levels. The idea is that speech elements with a high degree of information can be robustly identified based on basic acoustic properties. We evaluated the correlation of (information rich) content words in the DanPASS corpus with fundamental frequency (F0) and spectral tilt across four frequency bands. Our results show a correlation of certain band-level differences and the presence of content words. Similarly, but to a lesser extent, a correlation between F0 and the presence of content words was found. The principle described here has the potential to improve the “information-to-noise” ratio in hearing aids. In addition, this concept may also be applicable in automatic speech recognition systems. en_US
dc.format.extent 8 en_US
dc.language eng en_US
dc.title Information based speech transduction en_US
dc.type cp en_US
dc.accessionstatus modt12feb29 lbjl en_US
dc.contributor.corporation Copenhagen Business School. CBS en_US
dc.contributor.department Institut for Internationale Sprogstudier og Vidensteknologi ( en_US
dc.contributor.departmentshort ISV( en_US
dc.contributor.departmentuk Department of International Language Studies and Computational Linguistics( en_US
dc.contributor.departmentukshort ISV( en_US
dc.description.notes Presented at ISAAR-2011, International Symposium on Auditory and Audiological Research, Nyborg, 24-26 August 2011 en_US
dc.idnumber x656316437 en_US
dc.publisher.year 2011 en_US

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