Investigations of Auditory Filters Based Excitation Patterns for Assessment of Noise Induced Hearing Loss

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Noise induced hearing loss (NIHL) as one of the major avoidable occupational related health issues has been studied for decades. To assess NIHL, the excitation pattern (EP) has been considered as one of the mechanisms to estimate the movements of the basilar membrane (BM) in the cochlea. In this study, two auditory filters, dual resonance nonlinear (DRNL) filter and rounded-exponential (ROEX) filter are applied to create two EPs, the velocity EP and the loudness EP respectively. Two noise hazard metrics are proposed based on two proposed EPs to evaluate hazardous levels caused by different types of noise. Moreover Gaussian noise and tone signals are simulated to evaluate performances of the proposed EPs and the noise metrics. The results show that both EPs can reflect the responses of the BM to different types of noise. For Gaussian noise there is a frequency shift between the velocity EP and the loudness EP. The results suggest that both EPs can be used for assessment of NIHL.

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Filter algorithm based on cochlear mechanics and neuron filter mechanism and application on enhancement of audio signals
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  • Journal of Central South University
  • Wa Gao + 2 more

A filter algorithm based on cochlear mechanics and neuron filter mechanism is proposed from the view point of vibration. It helps to solve the problem that the non-linear amplification is rarely considered in studying the auditory filters. A cochlear mechanical transduction model is built to illustrate the audio signals processing procedure in cochlea, and then the neuron filter mechanism is modeled to indirectly obtain the outputs with the cochlear properties of frequency tuning and non-linear amplification. The mathematic description of the proposed algorithm is derived by the two models. The parameter space, the parameter selection rules and the error correction of the proposed algorithm are discussed. The unit impulse responses in the time domain and the frequency domain are simulated and compared to probe into the characteristics of the proposed algorithm. Then a 24-channel filter bank is built based on the proposed algorithm and applied to the enhancements of the audio signals. The experiments and comparisons verify that, the proposed algorithm can effectively divide the audio signals into different frequencies, significantly enhance the high frequency parts, and provide positive impacts on the performance of speech enhancement in different noise environments, especially for the babble noise and the volvo noise.

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Noise induced hearing loss (NIHL) as one of major avoidable occupational related health issues has been studied for decades. In order to accurately evaluate NIHL, several metrics that are based on the response of human auditory system have been developed. Excitation pattern (EP), as the responses of basilar membrane (BM) in cochlea, is correlated with auditory fatigue, which is considered as one fundamental mechanism of NIHL. Therefore, research on understanding EP of BM and its effect on human hearing loss is needed. In this study, two EP based models, referring as loudness EP and velocity EP, are proposed based on applying two typical auditory filters, rounded-exponential (ROEX) filter and dual resonant nonlinear (DRNL) filter, respectively. Moreover, two EP based noise metrics are developed to evaluate the hazardous caused by different types of noises (i.e., Gaussian and impact noises). The results show that both EP models can reflect the BM response to the input noise. For the assessment of Gaussian noise, two EP models are comparable, whereas the velocity EP is more accurate than the loudness EP on analysis of impact noise. The loudness EP may underestimate the hazardous caused by impact noise at high frequency.

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