Assessing the performance of hearing aids using surveys and audio data collected in situ
| Autor: | Syed Shabih Hasan, Octav Chipara, Ryan Brummet, Yu-Hsiang Wu |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Data collection
Mean squared error Computer science Speech recognition Social environment 020207 software engineering Context (language use) 02 engineering and technology medicine.disease 03 medical and health sciences 0302 clinical medicine medicine.anatomical_structure Acquired immunodeficiency syndrome (AIDS) otorhinolaryngologic diseases 0202 electrical engineering electronic engineering information engineering medicine Auditory system Active listening Noise level 030223 otorhinolaryngology |
| Zdroj: | INFOCOM Workshops |
| DOI: | 10.1109/infcomw.2017.8116390 |
| Popis: | Measuring the performance of hearing aids in the real-world is challenging because it depends on both the subject's auditory abilities and the auditory context in which they use their hearing aids. The auditory context includes characteristics of the listening activity, social context, and acoustic environment. Ecological momentary assessment is the state-of-the-art method for evaluating the performance of hearing aids in the real-world. It may be used to assess the auditory context and its performance in that context. However, such techniques a introduces a significant data collection burden on study participants. A potential avenue for reducing the data collection burden is to use audio data collected in-situ to characterize the auditory context automatically. This paper presents our initial attempt at answering this challenge. Our results indicate that it is possible to predict the noise level and listening activity with an accuracy of 68% and 70%, respectively. Additionally, we show that a 4.6% reduction in the mean squared error of predicting the listening effort may also be achieved by using the audio data (without including subjective self-reports). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|