M Hesham - International Journal of Speech Technology, 2013 - Springer
In recent studies, the chaotic behavior of a signal is confirmed using scalogram analysis of continuous-wavelet transform. Chaotic component of a speech signal can be verified …
Automatic Speech Recognition (ASR) has recorded appreciable progress both in technology and application. Despite this progress, there still exist wide performance gap …
In this work, nonlinear acoustic information is combined with traditional linear acoustic information to produce a noise-robust feature set for speech recognition. Classical acoustic …
Geophysical fields, notably rainfall or atmospheric turbulence, exhibit very specific features:(i) Strongly nonlinear fundamental equations which yield non trivial behaviour;(ii) …
A Ezeiza, KL De Ipiña, C Hernández… - Advances in Nonlinear …, 2011 - Springer
Abstract Hidden Markov Models and Mel Frequency Cepstral Coefficients (MFCC's) are a sort of standard for Automatic Speech Recognition (ASR) systems, but they fail to capture the …
Digital diagnostic pathology has become one of the most valuable and convenient advancements in technology over the past years. It allows us to acquire, store and analyze …
K Ślot, Ł Bronakowski, J Cichosz, H Kim - Sensors, 2009 - mdpi.com
The following paper introduces a group of novel speech-signal descriptors that reflect phoneme-pronunciation variability and that can be considered as potentially useful features …