Niklas Rönnberg

Testing listening effort for speech comprehension using the individuals’ cognitive spare capacity

Most hearing aid fittings today are almost solely based on the patient’s audiogram. Although the loss of gain in the cochlea is important, for a more optimal fitting, more individual parameters of ...

Assessing listening effort by measuring short-term memory storage and processing of speech in noise

Abstract Objective The aim of this study was to investigate the effect of working memory capacity (WMC) and updating ability (UA) on listening effort measured using a new test, the Auditory Inference Span Test (AIST), as an objective measure of listening effort. Design The AIST is based on Swedish five-word sentences and taps into three memory load levels (MLLs). It was administered in stationary speech-shaped noise at −2, −4, and −6 dB signal-to-noise ratio (SNR). WMC was assessed using the reading span test, and UA was assessed using the letter memory test. We also collected data on speech-in-noise performance and subjectively rated listening effort at the three SNRs. Study sample Thirty-nine participants with normal hearing thresholds (≤20 dB HL for 250 to 4000 Hz) took part in the study. Results AIST performance decreased with increasing MLL and was related to WMC and UA. Participants with high WMC performed better than those with low WMC at more favorable SNRs. Participants with high UA performed better than participants with low UA at the intermediate MLL, which made particular demands on the UA. Neither speech recognition scores nor subjectively rated listening effort was associated with AIST performance or either of the cognitive variables. Conclusion AIST taps into cognitive functions necessary for understanding speech in noise. However, in its current form AIST may be too cognitively taxing to successfully measure graded listening effort in participants with lower cognitive capacity.

Memory performance on the Auditory Inference Span Test is independent of background noise type for young adults with normal hearing at high speech intelligibility.

Listening in noise is often perceived to be effortful. This is partly because cognitive resources are engaged in separating the target signal from background noise, leaving fewer resources for storage and processing of the content of the message in working memory. The Auditory Inference Span Test (AIST) is designed to assess listening effort by measuring the ability to maintain and process heard information. The aim of this study was to use AIST to investigate the effect of background noise types and signal-to-noise ratio (SNR) on listening effort, as a function of working memory capacity (WMC) and updating ability (UA). The AIST was administered in three types of background noise: steady-state speech-shaped noise, amplitude modulated speech-shaped noise, and unintelligible speech. Three SNRs targeting 90% speech intelligibility or better were used in each of the three noise types, giving nine different conditions. The reading span test assessed WMC, while UA was assessed with the letter memory test. Twenty young adults with normal hearing participated in the study. Results showed that AIST performance was not influenced by noise type at the same intelligibility level, but became worse with worse SNR when background noise was speech-like. Performance on AIST also decreased with increasing memory load level. Correlations between AIST performance and the cognitive measurements suggested that WMC is of more importance for listening when SNRs are worse, while UA is of more importance for listening in easier SNRs. The results indicated that in young adults with normal hearing, the effort involved in listening in noise at high intelligibility levels is independent of the noise type. However, when noise is speech-like and intelligibility decreases, listening effort increases, probably due to extra demands on cognitive resources added by the informational masking created by the speech fragments and vocal sounds in the background noise.