NAL-NL2 is the second generation of prescription procedures from The National Acoustic Laboratories (NAL) for fitting wide dynamic range compression (WDRC) instruments. Like its predecessor NALNL1 (Dillon, 1999), NAL-NL2 aims at making speech intelligible and overall loudness comfortable. This aim is mainly driven by a belief that these factors are most important for hearing aid users, but is also driven by the fact that less information is available about how to adjust gain to optimise other parameters that affect prescription such as localisation, tonal quality, detection of environmental sounds, and naturalness. In both formulas, the objective is achieved by combining a speech intelligibility model and a loudness model in an adaptive computer- controlled optimisation process. Adjustments have further been made to the theoretical component of NAL-NL2 that are directed by empirical data collected during the past decade with NAL-NL1. In this paper, the data underlying NAL-NL2 and the derivation procedure are presented, and the main differences from NAL-NL1 are outlined
This paper presents the results from two experiments in which normal-hearing and hearing-impaired listeners used an adaptive procedure to select their preferred frequency response slope and two-channel compression ratios in twenty listening conditions. Whereas the preferred response slope mostly depended on the difference in SNR between frequency bands, the preferred output levels in two channels depended highly on the intensity level entering each band. In both cases, subjects preferred less gain in frequency bands where noise was more intrusive and they preferred less gain for listening comfort than for speech understanding. The preferred response slope also depended on the slope of the audiogram. Relative to the prescribed NAL-RP response, the preferred gain variations improved the broadband SNR and hence listening comfort, but not the estimated speech intelligibility index. Overall, the findings confirm the approach used in many commercial products of applying wide dynamic range compression in multiple bands with additional gain reductions in bands where the noise is estimated to be dominant.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.