2 research outputs found
A Retrospective Assessment of Fuzzy Logic Applications in Voice Communications and Speech Analytics
Voice and speech communication is a major topic covering simultaneously ’communication’, ’control’ (because it often involves control in the coding algorithms), and ’computing’ - from speech analysis and recognition, to speech analytics and to speech coding over communication channels. While fuzzy logic was specifically con- ceived to deal with language and reasoning, it has yet a limited use in the referred field. We discuss some of the main current applications from the perspective of half a century since fuzzy logic inception
Speech spectrum non-stationarity detection based on line spectrum frequencies and related applications
Ankara : Department of Electrical and Electronics Engineering and The Institute of Engineering and Sciences of Bilkent University, 1998.Thesis (Master's) -- Bilkent University, 1998.Includes bibliographical references leaves 124-132In this thesis, two new speech variation measures for speech spectrum nonstationarity
detection are proposed. These measures are based on the Line
Spectrum Frequencies (LSF) and the spectral values at the LSF locations.
They are formulated to be subjectively meaningful, mathematically tractable,
and also have low computational complexity property. In order to demonstrate
the usefulness of the non-stationarity detector, two applications are presented:
The first application is an implicit speech segmentation system which detects
non-stationary regions in speech signal and obtains the boundaries of the speech
segments. The other application is a Variable Bit-Rate Mixed Excitation Linear
Predictive (VBR-MELP) vocoder utilizing a novel voice activity detector
to detect silent regions in the speech. This voice activity detector is designed
to be robust to non-stationary background noise and provides efficient coding
of silent sections and unvoiced utterances to decrease the bit-rate. Simulation
results are also presented.Ertan, Ali ErdemM.S