activity
20142021
most citedNew Planetary Systems from the Calan-Hertfordshire Extrasolar Planet Search

65 citations · 99 across the 15 of their papers we have counts for

collaborators

15 papers

eess.SP2021

End-to-end LSTM based estimation of volcano event epicenter localization

Nestor Becerra Yoma, Jorge Wuth, Andres Pinto +3

In this paper, an end-to-end based LSTM scheme is proposed to address the problem of volcano event localization without any a priori model relating phase picking with localization…

eess.AS2020★ 1 cited

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…

eess.AS2020★ 2 cited

Non causal deep learning based dereverberation

Jorge Wuth, Richard M. Stern, Nestor Becerra Yoma

In this paper we demonstrate the effectiveness of non-causal context for mitigating the effects of reverberation in deep-learning-based automatic speech recognition (ASR) systems.…

eess.AS2019

On combining features for single-channel robust speech recognition in reverberant environments

José Novoa, Josué Fredes, Jorge Wuth +3

This paper addresses the combination of complementary parallel speech recognition systems to reduce the error rate of speech recognition systems operating in real highly-reverberan…

eess.AS2019★ 1 cited

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…

eess.AS2018

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…

eess.AS2018

Exploring the robustness of features and enhancement on speech recognition systems in highly-reverberant real environments

José Novoa, Juan Pablo Escudero, Jorge Wuth +4

This paper evaluates the robustness of a DNN-HMM-based speech recognition system in highly-reverberant real environments using the HRRE database. The performance of locally-normali…

eess.AS2018★ 3 cited

Highly-Reverberant Real Environment database: HRRE

Juan Pablo Escudero, Victor Poblete, José Novoa +5

Speech recognition in highly-reverberant real environments remains a major challenge. An evaluation dataset for this task is needed. This report describes the generation of the Hig…

cs.HC2017★ 1 cited

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…

astro-ph.IM2017★ 1 cited

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…

astro-ph.IM2017★ 2 cited

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…

cs.SD2017

DNN-based uncertainty estimation for weighted DNN-HMM ASR

José Novoa, Josué Fredes, Néstor Becerra Yoma

In this paper, the uncertainty is defined as the mean square error between a given enhanced noisy observation vector and the corresponding clean one. Then, a DNN is trained by usin…

astro-ph.IM2016★ 4 cited

Discovering new worlds: a review of signal processing methods for detecting exoplanets from astronomical radial velocity data

Muhammad Salman Khan, James Stewart Jenkins, Nestor Becerra Yoma

Exoplanets, short for `extra solar planets', are planets outside our solar system. They are objects with masses less than around 15 Jupiter-masses that orbit stars other than the S…

astro-ph.EP2016★ 65 cited

New Planetary Systems from the Calan-Hertfordshire Extrasolar Planet Search

J. S. Jenkins, H. R. A. Jones, M. Tuomi +22

We report the discovery of eight new giant planets, and updated orbits for four known planets, orbiting dwarf and subgiant stars using the CORALIE, HARPS, and MIKE instruments as p…

astro-ph.EP2014★ 19 cited

Improved signal detection algorithms for unevenly sampled data. Six signals in the radial velocity data for GJ876

James S. Jenkins, Nestor Becerra Yoma, Patricio Rojo +2

The hunt for Earth analogue planets orbiting Sun-like stars has forced the introduction of novel methods to detect signals at, or below, the level of the intrinsic noise of the obs…