13 citations
3 papers
eess.AS2018
Scaling Speech Enhancement in Unseen Environments with Noise Embeddings
Gil Keren, Jing Han, Björn Schuller
We address the problem of speech enhancement generalisation to unseen environments by performing two manipulations. First, we embed an additional recording from the environment alo…
stat.ML2018★ 1 cited
Calibrated Prediction Intervals for Neural Network Regressors
Gil Keren, Nicholas Cummins, Björn Schuller
Ongoing developments in neural network models are continually advancing the state of the art in terms of system accuracy. However, the predicted labels should not be regarded as th…
cs.SD2017★ 13 cited
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…