This paper synthesises research on artificial intelligence (AI) in e-commerce and proposes
guidelines on how information systems (IS) research could contribute to this research …

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

The ICASSP 2023 Deep Noise Suppression (DNS) Challenge marks the fifth edition of the
DNS challenge series. DNS challenges were organized from 2019 to 2023 to foster …

The objective of this work is speaker recognition under noisy and unconstrained conditions.
We make two key contributions. First, we introduce a very large-scale audio-visual dataset …

Speech enhancement is a critical component of many user-oriented audio applications, yet
current systems still suffer from distorted and unnatural outputs. While generative models …

The objective of this paper is speaker recognition under noisy and unconstrained conditions.
We make two key contributions. First, we introduce a very large-scale audio-visual speaker …

The ASVspoof initiative was created to promote the development of countermeasures which
aim to protect automatic speaker verification (ASV) from spoofing attacks. The first …

Recent substantial advancements in computational techniques, particularly in artificial
intelligence (AI) and machine learning (ML), have raised the demand for smart self-powered …

The Deep Noise Suppression (DNS) challenge is designed to foster innovation in the area
of noise suppression to achieve superior perceptual speech quality. We recently organized …

Research on speaker recognition is extending to address the vulnerability in the wild
conditions, among which genre mismatch is perhaps the most challenging, for instance …