Smartphone App-Based Digital Hearing Aid with Sliding-Band Dynamic Range Compression
Explore the implementation of sliding-band compression as a smartphone app for digital hearing aids, designed to assist listeners with sensorineural hearing loss in restoring normal loudness levels. The app utilizes frequency-dependent gain functions and critical bandwidth-based short-time power spectrum analysis for computational efficiency. Test results showcase the effectiveness of the app in processing various audio inputs.
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NCC2016 Guwahati, 4- 6 Mar. 2016, Paper No. 1570227725 (Poster Session: Signal Processing, Sat., 5th Mar., 1000 1310) A Smartphone App-Based Digital Hearing Aid with Sliding-Band Dynamic Range Compression Nitya Tiwari Prem C. Pandey {nitya, pcpandey} @ ee.iitb.ac.in IIT Bombay
Abstract Listeners with sensorineural hearing loss have degraded speech perception due to frequency-dependent elevation of hearing thresholds, reduced dynamic range, and increased temporal and spectral masking. Signal processing in hearing aids for such listeners uses frequency-selective amplification and dynamic range compression for restoring normal loudness of low-level sounds without making the high-level sounds uncomfortably loud. Sliding-band compression has been reported earlier for reducing the temporal and spectral distortions generally associated with currently used single and multiband compression techniques. The paper presents implementation of sliding-band compression as a smartphone app for use as a hearing aid. The processing involves a frequency-dependent gain function calculated on the basis of critical bandwidth based short-time power spectrum and the specified hearing thresholds, compression ratios, and attack and release times. It is realized using FFT-based analysis- synthesis and can be integrated with other such techniques for computational efficiency. 2/27
Test Results Setup Signal adapter 10 k 1.8 k AUDIO IN (PC/SIG GEN) GND (PC/SIG GEN/DSO) (SLEEVE) 4 3 (RING, SLEEVESIDE) 100 AUDIO OUT R (PC/DSO) (RING, TIPSIDE) 2 1 (TIP) AUDIO OUT L (PC/DSO) 4-PIN TRRS CONNECTOR TOIPHONE HEADSET 100 100 Material:AM & swept tones, speech & music modulated with different envelopes 3/27
Processing Examples Concatenated speech sentence, AM with scaling factors of 0.1, 0.8, 0.1, 0.4, 0.1 Input 1 0 -1 Scaling factor 1 0 AM speech i/p 1 0 -1 Processed o/p, sr = 0, CR = 2 1 0 -1 Processed o/p, sr = 30, CR = 2 1 0 -1 0 2 6 4 8 10 12 14 16 4/27 Time (s)
