514 citations · 566 across the 62 of their papers we have counts for
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Deep Learning for Distant Speech Recognition
Mirco Ravanelli
Deep learning is an emerging technology that is considered one of the most promising directions for reaching higher levels of artificial intelligence. Among the other achievements,…
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…
Audio Concept Classification with Hierarchical Deep Neural Networks
Mirco Ravanelli, Benjamin Elizalde, Karl Ni +1
Audio-based multimedia retrieval tasks may identify semantic information in audio streams, i.e., audio concepts (such as music, laughter, or a revving engine). Conventional Gaussia…
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…