97 citations · 100 across the 4 of their papers we have counts for
4 papers
ImportantAug: a data augmentation agent for speech
Viet Anh Trinh, Hassan Salami Kavaki, Michael I Mandel
We introduce ImportantAug, a technique to augment training data for speech classification and recognition models by adding noise to unimportant regions of the speech and not to imp…
Combining Spatial Clustering with LSTM Speech Models for Multichannel Speech Enhancement
Felix Grezes, Zhaoheng Ni, Viet Anh Trinh +1
Recurrent neural networks using the LSTM architecture can achieve significant single-channel noise reduction. It is not obvious, however, how to apply them to multi-channel inputs…
Enhancement of Spatial Clustering-Based Time-Frequency Masks using LSTM Neural Networks
Felix Grezes, Zhaoheng Ni, Viet Anh Trinh +1
Recent works have shown that Deep Recurrent Neural Networks using the LSTM architecture can achieve strong single-channel speech enhancement by estimating time-frequency masks. How…
CHiME-6 Challenge:Tackling Multispeaker Speech Recognition for Unsegmented Recordings
Shinji Watanabe, Michael Mandel, Jon Barker +18
Following the success of the 1st, 2nd, 3rd, 4th and 5th CHiME challenges we organize the 6th CHiME Speech Separation and Recognition Challenge (CHiME-6). The new challenge revisits…