Formant Frequency-based Speech Enhancement technique to improve intelligibility for hearing aid users with smartphone as an assistive device.
Overview
This GitHub repository provides for Speech enhancement on iOS smartphone platforms. The example app provided here is for hearing improvement studies.
Abstract: In this paper, we present a Speech Enhancement (SE) method implemented on a smartphone, and this arrangement functions as an assistive device to hearing aids (HA). Many benchmark single channel SE algorithms implemented on HAs provide considerable improvement in speech quality, while speech intelligibility improvement still remains a prime challenge. The proposed SE method based on Log spectral amplitude estimator improves speech intelligibility in the noisy real world acoustic environment using the priori information of formant frequency locations. The formant frequency information avails us to control the amount of speech distortion in these frequency bands, thereby controlling speech distortion. We introduce a ‘scaling’ parameter for the SE gain function, which controls the gains over the non-formant frequency band, allowing the HA users to customize the playback speech using a smartphone application to their listening preference. Objective intelligibility measures show the effectiveness of the proposed SE method. Subjective results reflect the suitability of the developed Speech Enhancement application in real-world noisy conditions at SNR levels of -5 dB, 0 dB and 5 dB.
You can find the paper for this GitHub repository : https://ieeexplore.ieee.org/document/8227577
Users Guides
Requirements
- iPhone 7 running iOS 10.3
License and Citation
The codes are licensed under MIT license.
For any utilization of the code content of this repository, one of the following books needs to get cited by the user:
G. S. Bhat, N. Shankar, C. K. A. Reddy and I. M. S. Panahi, "Formant frequency-based speech enhancement technique to improve intelligibility for hearing aid users with smartphone as an assistive device," 2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT), Bethesda, MD, 2017, pp. 32-35, doi: 10.1109/HIC.2017.8227577.
Disclaimer
This work was supported in part by the National Institute of the Deafness and Other Communication Disorders (NIDCD) of the National Institutes of Health (NIH) under Award 1R01DC015430-02. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH