Speaker recognition is a task of identifying persons from their voices. Recently, deep
learning has dramatically revolutionized speaker recognition. However, there is lack of …

Speech enhancement and speech separation are two related tasks, whose purpose is to
extract either one or more target speech signals, respectively, from a mixture of sounds …

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 learning is progressively gaining popularity as a viable alternative to i-vectors for
speaker recognition. Promising results have been recently obtained with Convolutional …

Speech is a powerful medium of communication that always convey rich and useful
information, such as gender, accent, and other unique characteristics of a speaker. These …

Humans can identify a speaker by listening to their voice, over the telephone, or on any
digital devices. Acquiring this congenital human competency, authentication technologies …

With the rapid development of the Mobile Internet and the Industrial Internet of Things, a
variety of applications put forward an urgent demand for user and device identity …

Target speech separation refers to extracting a target speaker's voice from an overlapped
audio of simultaneous talkers. Previously the use of visual modality for target speech …

Deep learning is currently playing a crucial role toward higher levels of artificial intelligence.
This paradigm allows neural networks to learn complex and abstract representations, that …

We propose and investigate an identity sensitive joint embedding of face and voice. Such an
embedding enables cross-modal retrieval from voice to face and from face to voice. We …