Relative to the speech production and perception models, spectral envelopes play an important role in speech analysis, synthesis, and coding. Recently, spectral envelope estimation technique has made a rapid progress. There are several ways to obtain spectral envelope. These ways include SEEVOC technique, discrete cepstrum method, regularized discrete cepstum estimation, DAP, MVDR, etc. In this...

In this paper, the analysis methods used for developing imaging systems estimating the spectral reflectance are considered. The system incorporates the estimation technique for the spectral reflectance. Several traditional and machine learning estimation techniques are compared for this purpose. The accuracy of spectral estimation with this system and each estimation technique is evaluated and ...

simple harmonizable processes (shp) introduced by soltani and parvardeh (2006) are a large class of nonstationary processes which includes stationary and periodically correlated (pc) processes. detection and estimation of shp structure are important problems when dealing with nonstationary data. in this paper, we study the spectral properties of simple processes and propose a method to detect a...

The minimum error entropy (MEE) criterion has been receiving increasing attention due to its promising perspectives for applications in signal processing and machine learning. In the context of Bayesian estimation, the MEE criterion is concerned with the estimation of a certain random variable based on another random variable, so that the error’s entropy is minimized. Several theoretical result...

Residual echo arises in hands–free telephony equipment due to insufficient echo canceler convergence, but can be suppressed using a postfilter. The residual echo power spectral density is the most crucial control parameter for both frequency–domain acoustic echo cancellation and combined residual echo and noise postfiltering. In this contribution we present and compare residual echo power spect...

A recent work explicitly models the discontinuous motion estimation problem in the frequency domain where the motion parameters are estimated using a harmonic retrieval approach. The vertical and horizontal components of the motion are independently estimated from the locations of the peaks of respective periodogram analyses and they are paired to obtain the motion vectors using a procedure pro...

Hand pose estimation has matured rapidly in recent years. The introduction of commodity depth sensors and a multitude of practical applications have spurred new advances. We provide an extensive analysis of the state-of-the-art, focusing on hand pose estimation from a single depth frame. To do so, we have implemented a considerable number of systems, and will release all software and evaluation...