Room Geometry Estimation from Acoustic Echoes using Graph-Based Echo Labeling

A computer being able to estimate the geometry of a room could benefit applications such as auralization, robot navigation, virtual reality and teleconferencing. When estimating the geometry of a room using multiple microphones, the main challenge is to identify which reflections, or echoes, originate from the same wall and can, therefore, be...

A Fast Method for High-Resolution Voiced/Unvoiced Detection and Glottal Closure/Opening Instant Estimation of Speech

We propose a fast speech analysis method which simultaneously performs high-resolution voiced/unvoiced detection (VUD) and accurate estimation of glottal closure and glottal opening instants (GCIs and GOIs, respectively). The proposed algorithm exploits the structure of the glottal flow derivative in order to estimate GCIs and GOIs only in...

A fast method for high-resolution voiced/unvoiced detection and glottal closure/opening instant estimation of speech

We propose a fast speech analysis method which simultaneously performs high-resolution voiced/unvoiced detection (VUD) and accurate estimation of glottal closure and glottal opening instants (GCIs and GOIs, respectively). The proposed algorithm exploits the structure of the glottal flow derivative in order to estimate GCIs and GOIs only in...

Comparison of Linear Prediction Methods in Terms of Sparsity, Stability and Robustness to Reverberation

The aim of this paper is to provide an experimental evaluation of five linear prediction methods in terms of sparsity, stability and robustness to reverberation. Moreover, we show that all the considered methods can be derived from a general linear prediction optimization problem. It is empirically found that the sparsest and also one of the...