Wave V Detection Using Instantaneous Energy of Auditory Brainstem Response Signal

Rushaidin, M. M.; Salleh, Sheikh Hussain Shaikh; Swee, Tan Tian; Najeb, J. M.; Arooj, Adeela

doi:10.3844/ajassp.2009.1669.1674

Cited by 17 publications

(14 citation statements)

References 22 publications

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“…The physiological changes is an effect of the increased testosteroneoestrogen ratio at that period. A similar decreasing of F0 can be caused by the habit of smoking (Gilbert and Weismer, 1974;Rushaidin et al, 2009). For male speech, the dramatic decrease in F0 during puberty duration has been observed to continue with subsequent deceleration until about 35 years of age.…”

Section: Fundamental Frequency Contour (F0 Contour)mentioning

confidence: 82%

Analysis of Fundamental Frequency Contour of Coded Speech Based on Multi-Pulse Based Code Excited Linear Prediction Algorithm

Chomphan¹

2011

Journal of Computer Science

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Problem statement:In low-bit-rate speech communication, speech coding deteriorates the characteristics of the coded speech significantly. An important feature of the speech is the fundamental frequency contour which determines the pitch information of the speech. It has been known that pitch information is one of the core parameter of the multi-pulse based code excited linear prediction (MP-CELP) speech coder. Therefore the study of the deteriorated fundamental frequency contour should be conducted properly. Approach: This study proposes an analysis of the fundamental frequency contour of the coded speech based on MP-CELP speech coder. The comparison of the fundamental frequency contour of the natural speech and that of the coded speech has been performed. The MP-CELP with three levels of bitrate scalability is selected as the core speech coder. The speech material includes a hundred of male speech utterances and a hundred of female speech utterances. Results: The experimental results show that the speech coder causes the deterioration of the fundamental frequency contour empirically. The Root Mean Square Error (RMSE) between the fundamental frequency contour of the natural speech and that of the coded speech for three different bitrates has been conducted. The lower bitrate causes the higher value of RMSE. Conclusion: From the study, it is a proved that the MP-CELP speech coder deteriorates the fundamental frequency contour of the transmitted speech.

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Section: Fundamental Frequency Contour (F0 Contour)mentioning

confidence: 82%

Analysis of Fundamental Frequency Contour of Coded Speech Based on Multi-Pulse Based Code Excited Linear Prediction Algorithm

Chomphan¹

2011

Journal of Computer Science

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“…In [7], the authors used the estimation of first and second derivatives of the signals, but only for high intensity level (90 dB). Also, in [4] the instantaneous energy method was introduced for wave V detection at high stimulation intensities (80 dB). Our results showed that this statistical procedure can be used also at low stimulation intensities.…”

Section: Designed Algorithmmentioning

confidence: 99%

“…In order to optimize the diagnosis and speed up this procedure, several methods have been proposed for automatic ABR (aABR) detection [4][5][6][7][8]. The most widely used is to compare the recorded tracings with a template that represents expected results.…”

Section: Introductionmentioning

confidence: 99%

Automatic ABR detection at near-threshold intensities combining template-based approach and energy analysis

Cabana-Pérez

Velarde-Reyes

Torres-Fortuny

et al. 2017

VII Latin American Congress on Biomedical Engineering CLAIB 2016, Bucaramanga, Santander, Colombia, October 26th -28th, 2016

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Abstract-This paper presents an algorithm for detecting auditory brainstem responses elicited by click stimuli at low intensities. Feature extraction is focused on peak V detection including analysis of the instantaneous energy and comparison with a template constructed from a reference dataset. All detection methods were validated and adjusted using ROC curve analysis. The algorithm was implemented in MatLab and evaluated in 135 ABR recordings. The combination of sensitivity, specificity and ROC area values exceeding 95 % with a 35 ms running time validates this approach for fast and accurate ABR detection.

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“…Each type of the noises is recorded separately and its amplitude is scaled to acquire the desired level of noise. In other words, the energy of noise and the speech signal are calculated then these signals are merged with five levels of SNRs of 0, 5, 10, 15 and 20 dB (Shareha et al, 2009;Geravanchizadeh and Rezaii, 2009;Rushaidin et al, 2009;Rajarathinam and Parmar, 2011).…”

Section: Fundamental Frequency Contour (F0 Contour)mentioning

confidence: 99%

Effects of Noises on the Analysis of Fundamental Frequency Contours for Thai Speech

Chomphan¹

2011

Journal of Computer Science

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Problem statement:In speech communication, noises from surrounding environments affect the communication quality with various aspects. The received speech quality should be analyzed to see how the important noises reduce the speech quality so that we can eliminate them in an appropriate way. Approach: This study presents a study on the analysis of the noise effects on Thai speech. Four kinds of noises; air conditioner, car, factory and train, are chosen to be simulated in the study. The various levels of signal-to-noise ratios are conducted. The root mean square error between the fundamental frequency contours of the corrupted speech and the clean speech is calculated. Finally, the analysis of the root mean square error in terms of comparisons among genders, the four kinds of noises and various levels of signal-to-noise ratios is performed. Results: In the experiments, 400 speech utterances of male and female are used as speech materials. The average values of root mean square error are calculated. The results show that the fundamental frequency contour of female speech is affected more than that of male speech. Comparing among four kinds of noises, the car noise has the highest influence, while the factory noise has the lowest influence. Moreover, the root mean square error is inversely proportional to the level of signal-to-noise ratio. Conclusion: From the finding, the noises from surrounding environments have affected the speech quality of fundamental frequency contour. This study is the preliminary knowledge to enhance the speech quality for further works such as speech synthesis systems or other speech processing technologies.

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Wave V Detection Using Instantaneous Energy of Auditory Brainstem Response Signal

Cited by 17 publications

References 22 publications

Analysis of Fundamental Frequency Contour of Coded Speech Based on Multi-Pulse Based Code Excited Linear Prediction Algorithm

Analysis of Fundamental Frequency Contour of Coded Speech Based on Multi-Pulse Based Code Excited Linear Prediction Algorithm

Automatic ABR detection at near-threshold intensities combining template-based approach and energy analysis

Effects of Noises on the Analysis of Fundamental Frequency Contours for Thai Speech

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