A twofold approach for the enhancement of speech intelligibility in hearing aids is presented. The improvement of the signal-to-noise ratio is fundamental to the success of acoustic hearing aids for the majority of hearing impaired people, suffering from a sensorineural hearing loss. Our approach reduces background noise in order to improve speech intelligibility. The suppression of noise is achieved by a combination of optimal beam-forming and computational auditory scene analysis. With respect to objective metrics of the assessment of speech intelligibility, the associated processing shows advantages compared to either of the underlying methods alone.
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