Chirp Analyzer for Estimating Non-stationary Auditory Signals

Y. García-Puente, P. Prado-Gutiérrez, E. Martínez-Montes

2014

Abstract

The development of clinical tools for objectively measuring the auditory temporal processing is important for the early diagnosis of speech pathologies related to hearing impairments. In this regards, the use of mathematical models and signal processing techniques is essential to characterize the electrophysiological responses to speech-related auditory stimuli. Objectives: To propose a chirp analyzer (CA) method for the reliable estimation of non-stationary auditory electrophysiological responses, and evaluate its potential applicability by comparing it with the known time-frequency methodologies Short Time Fourier Transform and Morlet wavelet transform. Methods: Using simulated and real data, we compare the robustness and reliability of the three methods for different response forms, as well as with different physiological response delay. Results: In general, the three methods were able to recover the shape of the simulated and real physiological response when there are low levels of noise and response latency is small. The CA is faster and more robust to noise; while complex continuous Morlet wavelet transform is very sensitive to noise but more reliable when the response appears with a considerable delay. Conclusions: Results suggest that the CA is a promising tool for estimating non-stationary auditory electrophysiological responses, although optimal estimation might be achieved with a combination of the three techniques. In any case, future studies should be carried out pursuing a more thorough validation of these methodologies.

References

1. Prado-Gutierrez P, Mijares E, et al. (2012) Maturational time course of the Envelope Following Response to amplitude-modulated acoustic signals in rats. International Journal of Audiology 51(4): 309-316.
2. Purcell DW, John MS, et al. (2004) Human temporal auditory acuity as assessed by envelope following responses. J AcoustSoc Am 116(6): 3581-3593.
3. Boashash, B (2003) Time frequency signal analysis and processing. Elsevier, London.

Paper Citation

in Harvard Style

García-Puente Y., Prado-Gutiérrez P. and Martínez-Montes E. (2014). Chirp Analyzer for Estimating Non-stationary Auditory Signals . In - NEUROTECHNIX, ISBN , pages 0-0

in Bibtex Style

@conference{neurotechnix14,
author={Y. García-Puente and P. Prado-Gutiérrez and E. Martínez-Montes},
title={Chirp Analyzer for Estimating Non-stationary Auditory Signals},
booktitle={ - NEUROTECHNIX,},
year={2014},
pages={},
publisher={SciTePress},
organization={INSTICC},
doi={},
isbn={},
}

in EndNote Style

TY - CONF
JO - - NEUROTECHNIX,
TI - Chirp Analyzer for Estimating Non-stationary Auditory Signals
SN -
AU - García-Puente Y.
AU - Prado-Gutiérrez P.
AU - Martínez-Montes E.
PY - 2014
SP - 0
EP - 0
DO -