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

Speaker individuality information is among the most critical elements within speech signals.
By thoroughly and accurately modeling this information, it can be utilized in various …

With the advance in automatic speech recognition, voice user interface has gained
popularity recently. Since the COVID-19 pandemic, VUI is increasingly preferred in online …

We held the second installment of the VoxCeleb Speaker Recognition Challenge in
conjunction with Interspeech 2020. The goal of this challenge was to assess how well …

The third instalment of the VoxCeleb Speaker Recognition Challenge was held in
conjunction with Interspeech 2021. The aim of this challenge was to assess how well current …

Speaker recognition systems based on deep speaker embeddings have achieved
significant performance in controlled conditions according to the results obtained for early …

The state-of-art approach for speaker verification consists of a neural network based
embedding extractor along with a backend generative model such as the Probabilistic …

This paper describes the systems developed by the JHU team for the speaker recognition
track of the 2019 VOiCES from a Distance Challenge. On this far-field task, we achieved …

Speaker Verification still suffers from the challenge of generalization to novel adverse
environments. We leverage on the recent advancements made by deep learning based …

The objective of this paper is to advance the development of technologies in the fields of
speaker recognition and speaker identification by introducing a large labeled audio …