11th Annual Conference of the International Speech Communication Association

Makuhari, Chiba, Japan
September 26-30. 2010

The Characterization of the Relative Information Content by Spectral Features for the Objective Intelligibility Assessment of Nonlinearly Processed Speech

Anton Schlesinger, Marinus M. Boone

Technische Universiteit Delft, The Netherlands

The objective intelligibility assessment of nonlinearly enhanced speech is a widely experienced problem. Nonlinear processors operate primarily on the low-level and transient components of speech. As these sections contain important acoustic cues as well as context-constitutive information, they dominate speech intelligibility. For that reason, short-time intelligibility measures at low-level and transient components are weighted with their contribution to the overall intelligibility. In this report, spectral features are calculated from auditory sub-bands and are utilized to label these sections of high information content. A genetic optimization is performed to adapt the spectral feature measures to psychoacoustical data. No improvement is found over existing methods of objective speech intelligibility assessment, using short-time intelligibility calculation and level-dependent weighting. Therewith, the reported results contribute to pinpoint practicable solutions to the problem.

Full Paper

Bibliographic reference.  Schlesinger, Anton / Boone, Marinus M. (2010): "The characterization of the relative information content by spectral features for the objective intelligibility assessment of nonlinearly processed speech", In INTERSPEECH-2010, 1309-1312.