Binaural Speech Intelligibility for Combinations of Noise, Reverberation, And Hearing-Aid Signal Processing

Binaural speech intelligibility is crucial for effective communication, especially in complex acoustic environments characterized by noise, reverberation, and hearing-aid signal processing. Noise masks speech signals, while reverberation causes temporal smearing, compounding speech perception challenges. Hearing aids, designed to enhance speech intelligibility, employ various signal processing techniques such as Wide Dynamic Range Compression (WDRC), noise suppression algorithms, and frequency compression. However, their effectiveness varies depending on the acoustic scenario and individual listener characteristics. Binaural hearing aids, which preserve spatial cues, offer pote ntial advantages in separating speech from noise but are affected by reverberation that blurs spatial information. This paper explores the intricate interactions between noise, reverberation, and hearing-aid processing strategies, emphasizing the importance of personalized fittings and adaptive algorithms. Understanding these interactions is vital for designing advanced hearing aid systems that optimize binaural speech intelligibility in real-world listening environments.