Literature DB >> 28269593

Smartphone-based real-time speech enhancement for improving hearing aids speech perception.

Issa M S Panahi, Nasser Kehtarnavaz.   

Abstract

In this paper, the development of a speech processing pipeline on smartphones for hearing aid devices (HADs) is presented. This pipeline is used for noise suppression and speech enhancement (SE) to improve speech quality and intelligibility. The proposed method is implemented to run in real-time on Android smartphones. The results of the testing conducted indicate that the proposed method suppresses the noise and improves the perceptual quality of speech in terms of three objective measures of perceptual evaluation of speech quality (PESQ), noise attenuation level (NAL), and the coherent speech intelligibility index (CSII).

Mesh:

Year:  2016        PMID: 28269593     DOI: 10.1109/EMBC.2016.7592067

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  1 in total

1.  Spectral Flux-Based Convolutional Neural Network Architecture for Speech Source Localization and Its Real-Time Implementation.

Authors:  Yiya Hao; Abdullah Küçük; Anshuman Ganguly; Issa M S Panahi
Journal:  IEEE Access       Date:  2020-10-26       Impact factor: 3.367

  1 in total

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