We propose a simple method for modifying emotional speech sounds. The method aims at real-time implementation of an emotional expression transformation system based on STRAIGHT. We developed a mapping function of spectra, fundamental frequencies (F0), and vowel durations from the statistical analysis of 1500 expressive speech sounds in an emotional speech database. The spectral mapping paramete...

Intelligibility of speech in adverse near-end noise conditions can be enhanced with post-processing. Recently, a postprocessing method based on statistical mapping of the spectral tilt of normal speech to that of Lombard speech was proposed. However, previous intelligibility improvement studies utilizing Lombard speech have mainly gathered data from read sentences which might result in a less p...

This paper describes a method for determining the vocal tract spectrum from articulatory movements using a Gaussian Mixture Model (GMM) to synthesize speech with articulatory information. The GMM on joint probability density of articulatory parameters and acoustic spectral parameters is trained using a parallel acousticarticulatory speech database. We evaluate the performance of the GMM-based m...

Present study attempts to understand the potential of multispectral ASTER (Advanced space borne thermal emission and reflection radiometer) data for spatial mapping of kimberlite. Kimberlite is an economic rock known for hosting diamond. Kimberlite also has petrogenetic importance for giving us clue on the composition of lower part of the mantle. Kimberlites often contain serpentine, carbonate ...

Maximizing the data rate and spectral efficiency are the main targets in LTE cellular systems. However, any increase in data rate or spectral efficiency will result in an undesirable increase in energy consumption. Hence, both energy efficiency (EE) and spectral efficiency (SE) necessitate to be optimized. In this paper, a multi-objective optimization framework is formulated to prove the tradeo...

Intensity mapping experiments survey the spectrum of diffuse line radiation rather than detect individual objects at high signal-to-noise ratio. Spectral maps of unresolved atomic and molecular line radiation contain three-dimensional information about the density and environments of emitting gas and efficiently probe cosmological volumes out to high redshift. Intensity mapping survey volumes a...

Acknowledgements First of all, I would like to thank my parents who not only gave me every possible personal and material support during my studies, but are also responsible for my decision to do science rather than to look for a decent job: they left \Scientiic American" on our living room table during my childhood. I am also grateful to my advisor, Professor Karsten Schwan, who has created an...

Spectral methods have been widely used to study the structural properties of unlabeled datasets. In this work we describe a clustering approach that exploits the structural properties in the configuration space of objects as well as the spectral sub-space, quite unlike earlier methods. We propose a spectral clustering approach, where we formalize the notion of clusters as vertices of a simplex ...

A spectral gamut-mapping algorithm is introduced that works well for printers with a large number of inks. It finds the best mapping onto the convex hull of the printer spectral gamut while preserving color defined in CIE XYZ as much as possible. The technique employs a non-negative least-square fit. Since the gamut-mapping algorithm depends on the common assumption that the gamut is convex, an...