Information based speech transduction

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dc.contributor.author	Juel Henrichsen, Peter
dc.date.accessioned	2011-11-09
dc.date.accessioned	2012-02-29T14:32:43Z
dc.date.available	2012-02-29T14:32:43Z
dc.date.issued	2012-02-29
dc.identifier.uri	http://hdl.handle.net/10398/8411
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