755 citations · 2.7k across the 91 of their papers we have counts for
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auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks
Michael Freitag, Shahin Amiriparian, Sergey Pugachevskiy +2
auDeep is a Python toolkit for deep unsupervised representation learning from acoustic data. It is based on a recurrent sequence to sequence autoencoder approach which can learn re…
Learning audio sequence representations for acoustic event classification
Zixing Zhang, Ding Liu, Jing Han +2
Acoustic Event Classification (AEC) has become a significant task for machines to perceive the surrounding auditory scene. However, extracting effective representations that captur…
Deep Learning for Environmentally Robust Speech Recognition: An Overview of Recent Developments
Zixing Zhang, Jürgen Geiger, Jouni Pohjalainen +3
Eliminating the negative effect of non-stationary environmental noise is a long-standing research topic for automatic speech recognition that stills remains an important challenge.…