3 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.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.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…