Considering language-specificity in hearing aid prescription algorithms

Current standards in hearing aid signal processing are not language-specific. A language aggregated long term averaged speech spectrum (LTASS) forms the core of much reasoning behind hearing aid amplification protocols and clinical procedures. More recent studies have found this reasoning to be contentious. Various recording procedures (among other factors) can lead to spectral coloration of the signal. The aggregated LTASS in use may suffer from such colorations as well. Here, a language aggregated LTASS was derived from the ALLSTAR corpus and also from the GoogleTTS AI speech corpus. Results were compared to the original aggregated LTASS. The impact of recording decisions on the expected speech spectrum is also discussed.