Publications

In this paper, we present an end-to-end language identification framework, the attention-based Convolutional Neural …

In this paper, we apply the NetFV and NetVLAD layers for the end-to-end language identification task. NetFV and NetVLAD layers are the …

The classical i-vectors and the latest end-to-end deep speaker embeddings are the two representative categories of utterance-level …

In this paper, we explore the encoding/pooling layer and loss function in the end-to-end speaker and language recognition system. …

A novel interpretable end-to-end learning scheme for language identification is proposed. It is in line with the classical GMM i-vector …

A novel learnable dictionary encoding layer is proposed in this paper for end-to-end language identification. It is inline with the …

The ongoing ASVspoof 2017 challenge aims to detect replay attacks for text dependent speaker verification. In this paper, we propose …