Literature DB >> 30440422

Influence of MVDR beamformer on a Speech Enhancement based Smartphone application for Hearing Aids.

Nikhil Shankar, Abdullah Kucuk, Chandan K A Reddy, Gautam S Bhat, Issa M S Panahi.   

Abstract

This paper presents the minimum variance distortionless response (MVDR) beamformer combined with a Speech Enhancement (SE) gain function as a real-time application running on smartphones that work as an assistive device to Hearing Aids. It has been shown that beamforming techniques improve the Signal to Noise Ratio (SNR) in noisy conditions. In the proposed algorithm, MVDR beamformer is used as an SNR booster for the SE method. The proposed SE gain is based on the Log-Spectral Amplitude estimator to improve the speech quality in the presence of different background noises. Objective evaluation and intelligibility measures support the theoretical analysis and show significant improvements of the proposed method in comparison with existing methods. Subjective test results show the effectiveness of the application in real-world noisy conditions at SNR levels of -5 dB, 0 dB, and 5 dB.

Entities:  

Mesh:

Year:  2018        PMID: 30440422      PMCID: PMC7398114          DOI: 10.1109/EMBC.2018.8512369

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  5 in total

1.  The future of hearing aid technology.

Authors:  Brent Edwards
Journal:  Trends Amplif       Date:  2007-03

2.  Factors influencing intelligibility of ideal binary-masked speech: implications for noise reduction.

Authors:  Ning Li; Philipos C Loizou
Journal:  J Acoust Soc Am       Date:  2008-03       Impact factor: 1.840

3.  Two microphones spectral-coherence based speech enhancement for hearing aids using smartphone as an assistive device.

Authors:  Chandan K A Reddy; Issa Panahi
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2016-08

4.  An individualized super-Gaussian single microphone Speech Enhancement for hearing aid users with smartphone as an assistive device.

Authors:  Chandan K A Reddy; Nikhil Shankar; Gautam S Bhat; Ram Charan; Issa Panahi
Journal:  IEEE Signal Process Lett       Date:  2017-09-11       Impact factor: 3.109

  5 in total
  2 in total

1.  Efficient two-microphone speech enhancement using basic recurrent neural network cell for hearing and hearing aids.

Authors:  Nikhil Shankar; Gautam Shreedhar Bhat; Issa M S Panahi
Journal:  J Acoust Soc Am       Date:  2020-07       Impact factor: 1.840

2.  Real-time dual-channel speech enhancement by VAD assisted MVDR beamformer for hearing aid applications using smartphone.

Authors:  Nikhil Shankar; Gautam Shreedhar Bhat; Issa M S Panahi
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2020-07
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.