1 / 6

IIT Bombay

8 th Int. Conf. on Intelligent Human Computer Interaction (IHCI 2016), 12-13 December, 2016, Pilani, Raj., India, Paper No. 81 (Session III, Tue., 13 th Dec., 1130 – 1300)

Download Presentation

IIT Bombay

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. 8th Int. Conf. on Intelligent Human Computer Interaction (IHCI 2016), 12-13 December, 2016, Pilani, Raj., India, Paper No. 81 (Session III, Tue., 13th Dec., 1130 – 1300) Implementation of a Digital Hearing Aid with User-Settable Frequency Response and Sliding-Band Dynamic Range Compression as a Smartphone App Saketh Sharma, Nitya Tiwari, & Prem C. Pandey {sakethsharma, nitya, pcpandey} @ ee.iitb.ac.in IIT Bombay

  2. Abstract Persons with sensorineural hearing loss suffer from degraded speech perception caused by frequency-dependent elevation of hearing thresholds, reduced dynamic range and abnormal loudness growth, and increased temporal and spectral masking. For improving speech perception by persons with moderate loss of this type, a digital hearing aid is implemented as an Android-based smartphone app. It uses sliding-band dynamic range compression for restoring normal loudness of low-level sounds without making the high-level sounds uncomfortably loud and for reducing the perceptible temporal and spectral distortions associated with currently used single and multiband compression techniques. The processing involves application of a frequency dependent gain function calculated on the basis of critical bandwidth based short-time power spectrum and is realized using FFT-based analysis-synthesis. The implementation has a touch-controlled graphical user interface enabling the app user to fine tune the frequency-dependent parameters in an interactive and real-time mode. Keywords: Dynamic range compression, hearing aid, interactive settings, sensorineural hearing loss, smartphone app

  3. Examples of processing

  4. Example of processing for frequency-dependent linear gain (Input: Constant amplitude tone, swept from 100 Hz to 10 kHz over 10 s) Settings panel Input Processed output

  5. Example of processing for compression (Input: Amplitude-modulated 1 kHz tone) Settings panel Input Processed output

  6. Example of processing of speech signal (Input: English sentence “you will mark ut please” repeatedly concatenated with different scaling factors) Settings panel Input Processed output

More Related