Olatunji O. Akande

Learn More
Cepstral-based estimation is used to provide a baseline estimate of the noise level in the logarithmic spectrum for voiced speech. A theoretical description of cepstral processing of voiced speech containing aspiration noise, together with supporting empirical data, is provided in order to illustrate the nature of the noise baseline estimation process.(More)
Cepstral analysis is used to estimate the harmonics-to-noise ratio (HNR) in speech signals. The inverse Fourier transformed liftered cepstrum approximates a noise baseline from which the harmonics-to-noise ratio is estimated. The present study highlights the manner in which the cepstrum-based noise baseline estimate is obtained, essentially behaving like a(More)
The harmonics-to-noise ratio (HNR) has been shown to provide a useful, non-invasive index for assessing and analyzing voice disorders. As such, a valid and reliable method for estimating levels of noise and hence HNR, in human voice is important for effective evaluation and management of voice pathology. An objective method to determine the accuracy of two(More)
The EXPLAN model is implemented on a graphic simulator. It is shown that it is able to produce speech in serial order and several types of fluency failure produced by fluent speakers and speakers who stutter. A way that EXPLAN accounts for longitudinal changes in the pattern of fluency failures shown by speakers who stutter is demonstrated.
  • 1