3 accepted papers
This paper proposes a joint acoustic echo cancellation (AEC) and speech enhancement method with adaptive filter and deep neural network (DNN) model. A partitioned block adaptive filter is adopted for linear AEC followed by a convolutional neural network and transformer based model to suppress the re…
Based on deep learning technology, non-intrusive methods have received increasing attention for synthetic speech quality assessment since it does not need reference signals. Meanwhile, i-vector has been widely used in paralinguistic speech attribute recognition such as speaker and emotion recognitio…
Most of current best performing Acoustic Scene Classification (ASC) systems utilize Mel scale spectrograms with Convolutional Neural Networks (CNNs). Mel scale is a common way to suit frequency warping of human ears, with strict decreasing frequency resolution on low to high frequency range. However…