419 citations · 427 across the 12 of their papers we have counts for
6 papers · 1 filter
Realistic multi-microphone data simulation for distant speech recognition
Mirco Ravanelli, Piergiorgio Svaizer, Maurizio Omologo
The availability of realistic simulated corpora is of key importance for the future progress of distant speech recognition technology. The reliability, flexibility and low computat…
Contaminated speech training methods for robust DNN-HMM distant speech recognition
Mirco Ravanelli, Maurizio Omologo
Despite the significant progress made in the last years, state-of-the-art speech recognition technologies provide a satisfactory performance only in the close-talking condition. Ro…
The DIRHA-English corpus and related tasks for distant-speech recognition in domestic environments
Mirco Ravanelli, Maurizio Omologo
This paper introduces the contents and the possible usage of the DIRHA-ENGLISH multi-microphone corpus, recently realized under the EC DIRHA project. The reference scenario is a do…
Improving speech recognition by revising gated recurrent units
Mirco Ravanelli, Philemon Brakel, Maurizio Omologo +1
Speech recognition is largely taking advantage of deep learning, showing that substantial benefits can be obtained by modern Recurrent Neural Networks (RNNs). The most popular RNNs…
Batch-normalized joint training for DNN-based distant speech recognition
Mirco Ravanelli, Philemon Brakel, Maurizio Omologo +1
Improving distant speech recognition is a crucial step towards flexible human-machine interfaces. Current technology, however, still exhibits a lack of robustness, especially when…
A network of deep neural networks for distant speech recognition
Mirco Ravanelli, Philemon Brakel, Maurizio Omologo +1
Despite the remarkable progress recently made in distant speech recognition, state-of-the-art technology still suffers from a lack of robustness, especially when adverse acoustic c…