Artificial intelligence in E-Commerce: a bibliometric study and literature review

RE Bawack, SF Wamba, KDA Carillo, S Akter - Electronic markets, 2022 - Springer
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 based on deep learning: An overview

Z Bai, XL Zhang - Neural Networks, 2021 - Elsevier
Speaker recognition is a task of identifying persons from their voices. Recently, deep
learning has dramatically revolutionized speaker recognition. However, there is lack of …

Icassp 2023 deep noise suppression challenge

H Dubey, A Aazami, V Gopal, B Naderi… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
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 …

[HTML][HTML] Voxceleb: Large-scale speaker verification in the wild

A Nagrani, JS Chung, W Xie, A Zisserman - Computer Speech & Language, 2020 - Elsevier
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 …

Conditional diffusion probabilistic model for speech enhancement

YJ Lu, ZQ Wang, S Watanabe… - ICASSP 2022-2022 …, 2022 - ieeexplore.ieee.org
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 …

Voxceleb2: Deep speaker recognition

JS Chung, A Nagrani, A Zisserman - arXiv preprint arXiv:1806.05622, 2018 - arxiv.org
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 2017 challenge: Assessing the limits of replay spoofing attack detection

T Kinnunen, M Sahidullah, H Delgado… - Interspeech …, 2017 - research.ed.ac.uk
The ASVspoof initiative was created to promote the development of countermeasures which
aim to protect automatic speaker verification (ASV) from spoofing attacks. The first …

Smart data processing for energy harvesting systems using artificial intelligence

S Divya, S Panda, S Hajra, R Jeyaraj, A Paul, SH Park… - Nano Energy, 2023 - Elsevier
Recent substantial advancements in computational techniques, particularly in artificial
intelligence (AI) and machine learning (ML), have raised the demand for smart self-powered …

ICASSP 2021 deep noise suppression challenge

CKA Reddy, H Dubey, V Gopal, R Cutler… - ICASSP 2021-2021 …, 2021 - ieeexplore.ieee.org
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 …

Cn-celeb: multi-genre speaker recognition

L Li, R Liu, J Kang, Y Fan, H Cui, Y Cai, R Vipperla… - Speech …, 2022 - Elsevier
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 …