8 citations · 14 across the 9 of their papers we have counts for
3 papers · 1 filter
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…
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…
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…