The objective of this paper is' open-set'speaker recognition of unseen speakers, where ideal
embeddings should be able to condense information into a compact utterance-level …

Deep speaker embeddings have become the leading method for encoding speaker identity
in speaker recognition tasks. The embedding space should ideally capture the variations …

Abstract Language recognition based on embedding aims to maximize inter-class variance
and minimize intra-class variance. Previous researches are limited to the training constraint …

In this paper, we propose a semi-supervised learning (SSL) technique for training deep
neural networks (DNNs) to generate speaker-discriminative acoustic embeddings (speaker …

As a state-of-the-art solution for speaker verification problems, deep neural networks have
been usefully employed for extracting speaker embeddings which represent speaker …

Recent years have seen significant advances in speech recognition technology, which can
largely be attributed to the combination of the rise in deep learning in speech recognition …