Recently, spectral first-derivative parameters obtained by frequency filtering (FF) have been successfully used in both clean and noisy HMM speech recognition. In this paper, two types of spectral derivative parameters, the usual FF features and the relative spectral difference (RSD) features, are compared both between them and with their second-derivative versions. Additionally, another kind o...

FOR SPEECH SPECTRAL PARAMETERS John Leis Faculty of Engineering University of Southern Queensland Toowoomba, AUSTRALIA email: [email protected] Sridha Sridharan Signal Processing Research Centre Queensland University of Technology Brisbane, AUSTRALIA ABSTRACT The major contributor to the overall bit rate in low rate speech coders is the encoding of the short-term spectral parameters. Current sche...

Photoacoustic (PA) tissue characterization relies on the analysis of ultrasound (US) signals generated through the PA effect. The probability distributions of PA signal amplitude as well as the frequency content of the PA signals are typically not considered. We present a phantom study where we introduce the combined use of US/PA signal envelope statistics along with analysis of the frequency c...

New generation of speech coders have to achieve two goals: efficient use of bandwidth and high speech quality. The objective of this thesis is to improve the modelling of speech signal within the constraints of a low bit rate coder. Many speech coding algorithms use Linear Prediction (LP) coefficients to describe the power spectrum of the speech. These parameters are obtained for blocks of inpu...

In automatic speech recognition, the signal is usually represented by a set of time sequences of spectral parameters Ž . TSSPs that model the temporal evolution of the spectral envelope frame-to-frame. Those sequences are then filtered either Ž . to make them more robust to environmental conditions or to compute differential parameters dynamic features which enhance discrimination. In this pape...

Near-Infrared reflectance spectra of planets can be used to infer surface parameters, sometimes with relevance to recent geologic history. Accurate prediction of parameters (such as composition, temperature, grain size, crystalline state, and dilution of one species within another) is often difficult because parameters manifest subtle but significant details in noisy spectral observations, beca...

The EEG is a valuable tool because it reflects cerebral physiology, it is a continuous and non-invasive measure, and it changes markedly on the administration of anesthetic drugs. The objective of this project is to find the excellent features to discriminate between different anesthesia states. Spectral Edge Frequency (SEF), spectral entropy and bicoherence can be used to differentiate differe...

Phonetic research in the past decades has exerted a great effort to describe the principles of relative prominence in speech. The importance of this issue is felt in many areas of both pure and applied phonetics spilling over to the fields of speech technology, where prominence can help to disambiguate words in recognition tasks or make synthesized speech more natural, convincing and unequivoca...

The knowledge of neutron and gamma ray energy spectra can strongly influence the BNCT information about delivered dose to target volume as well as to the surface healthy tissue region. This region is very often decisive to stay within the recommended healthy tissue limit. Modification of neutron Bonner spectrometer to one block i.e. Bonner spectrometer monoblock (BSM) and gamma ray Si semicondu...