Unit selection synthesis inventories have coverage issues, which lead to missing syllable or diphone units. In the conventional back-off strategy of substituting the missing unit ...
In this paper we describe a deconvolution technique for obtaining an approximation of the neuronal signal from an observed hemodynamic response in fMRI data. Our approach, based o...
A new method for instantaneous phase tracking of oscillatory signals in a narrow band frequency range is proposed. Empirical mode decomposition (EMD), as an adaptive and data-driv...
Disease occurs due to aberrant modulation of biological pathways. Identification of activated gene pathways from gene expression data is an important problem. In this work, we de...
This paper proposes an algorithm for joint data detection and tracking of the dominant singular mode of a time varying channel at the transmitter and receiver of a time division d...
Long-span language models that capture syntax and semantics are seldom used in the first pass of large vocabulary continuous speech recognition systems due to the prohibitive sea...
Anoop Deoras, Tomas Mikolov, Stefan Kombrink, Mart...
Previous work in speech-based cognitive load classification has shown that the glottal source contains important information for cognitive load discrimination. However, the relia...
This paper describes a new approximate maximum-likelihood (ML) MIMO detection approach by studying a Lagrangian dual relaxation (LDR) of ML. Unlike many existing relaxed ML method...
Contending with signal variability due to source and channel effects is a critical problem in automatic emotion recognition. Any approach in mitigating these effects however has t...
Carlos Busso, Angeliki Metallinou, Shrikanth S. Na...
A smoothing finite impulse response (FIR) filter is addressed for discrete time-invariant state-space polynomial models commonly used to model signals over finite data. A gener...
Oscar Gerardo Ibarra-Manzano, Yuriy S. Shmaliy, Lu...