4 accepted papers
Speech communication has been a major part of maritime transportation, particularly in Vessel Traffic Management (VTM). Automatic Speech Recognition (ASR) and Spoken Language Understanding (SLU) of VTM communications provide shipping traffic information in digital forms which improves the productivi…
This paper addresses audio classification with limited training resources. We first investigate different types of data augmentation including physical modeling, wavelet scattering transform and Generative Adversarial Networks (GAN). We than propose a novel GAN method to embed physical augmentation…
For the distant speech recognition, the multi-channel processing has been proven to significantly improve the ASR performances compared to the single channel approaches. However, there is very little work has done to provide a comparative evaluation of the approaches, particularly with the modern De…
This paper proposes a novel biologically inspired method for sound event classification which combines spike coding with a spiking neural network (SNN). Our spike coding extracts keypoints that represent the local maxima components of the sound spectrogram, and are encoded based on their local time-…