New journal papers from the Machine Listening Lab

The Machine Listening Lab has recently had great success towards publishing journal papers related to the lab’s research priorities on developing new machine learning and signal processing methodologies for audio and timeseries analysis. Our new work ranges from new methods for speaker anti-spoofing, to visibility graphs for large-scale time series analysis, and on new evaluation methodologies for music prediction and transcription.

The list of our recently accepted and published journal papers can be found below; many of them are freely available or have links to preprints so you can read them already:

Posted in Publications