5 accepted papers
Presentation attack detection (PAD) aims to determine if a speech signal observed at a microphone was produced by a live talker or if it was replayed through a loudspeaker. This is an important problem to address for secure human-computer voice interactions. One characteristic of presentation attack…
We present a performance comparison between human listeners and a simple algorithm for the task of speech anomaly detection. The algorithm utilises an intentionally small set of features derived from the source-filter model, with the aim of validating that key components of source-filter theory char…
Key parameters that characterise the degree of degradation in an acoustic environment are reverberation time (RT), direct-to-reverberant ratio (DRR) and signal-to-noise ratio (SNR). To address the inherent interplay that exists between these parameters, which can hinder existing methods designed to…
Multichannel data-driven time-frequency algorithms, such as the multivariate empirical mode decomposition (MEMD), have emerged as important tools in the analysis of inter-channel dependencies that arise in multivariate data. Such methods employ uniform projection schemes on hyperspheres in order to…
It is essential to measure physiological parameters such as heart rate variability and respiratory rate of drivers to evaluate their performance. The results from this measurement can be used to assess the state of body and mind, for instance concentration and stress. However, current systems only w…