2 citations · 6 across the 5 of their papers we have counts for
6 papers
Short-time deep-learning based source separation for speech enhancement in reverberant environments with beamforming
Alejandro Díaz, Diego Pincheira, Rodrigo Mahu +1
The source separation-based speech enhancement problem with multiple beamforming in reverberant indoor environments is addressed in this paper. We propose that more generic solutio…
Weighted delay-and-sum beamforming guided by visual tracking for human-robot interaction
José Novoa, Rodrigo Mahu, Alejandro Díaz +3
This paper describes the integration of weighted delay-and-sum beamforming with speech source localization using image processing and robot head visual servoing for source tracking…
An improved DNN-based spectral feature mapping that removes noise and reverberation for robust automatic speech recognition
Juan Pablo Escudero, José Novoa, Rodrigo Mahu +4
Reverberation and additive noise have detrimental effects on the performance of automatic speech recognition systems. In this paper we explore the ability of a DNN-based spectral f…
Multichannel Robot Speech Recognition Database: MChRSR
José Novoa, Juan Pablo Escudero, Josué Fredes +3
In real human robot interaction (HRI) scenarios, speech recognition represents a major challenge due to robot noise, background noise and time-varying acoustic channel. This docume…
Estimation of Exoplanetary Planet-to-Star Radius Ratio with Homomorphic Processing
Rodrigo Mahu, Patricio Rojo, Ali Dehghan Firoozabadi +3
In this paper a homomorphic filtering scheme is proposed to improve the estimation of the planet/star radius ratio in astronomical transit signals. The idea is to reduce the effect…
Unsupervised Method for Correlated Noise Removal for Multi-wavelength Exoplanet Transit Observations
Ali Dehghan Firoozabadi, Alejandro Diaz, Patricio Rojo +4
Exoplanetary atmospheric observations require an exquisite precision in the measurement of the relative flux among wavelengths. In this paper, we aim to provide a new adaptive meth…