Understanding the mechanisms of familiar voice-identity recognition in the human brain

C Maguinness, C Roswandowitz, K von Kriegstein - Neuropsychologia, 2018 - Elsevier
Humans have a remarkable skill for voice-identity recognition: most of us can remember
many voices that surround us as 'unique'. In this review, we explore the computational and …

VC3: Trustworthy data analytics in the cloud using SGX

F Schuster, M Costa, C Fournet… - … IEEE symposium on …, 2015 - ieeexplore.ieee.org
We present VC3, the first system that allows users to run distributed MapReduce
computations in the cloud while keeping their code and data secret, and ensuring the …

Seeing voices and hearing faces: Cross-modal biometric matching

A Nagrani, S Albanie… - Proceedings of the IEEE …, 2018 - openaccess.thecvf.com
We introduce a seemingly impossible task: given only an audio clip of someone speaking,
decide which of two face images is the speaker. In this paper we study this, and a number of …

Can you tell the robot by the voice? An exploratory study on the role of voice in the perception of robots

C McGinn, I Torre - … 14th ACM/IEEE international Conference on …, 2019 - ieeexplore.ieee.org
It is well established that a robot's visual appearance plays a significant role in how it is
perceived. Considerable time and resources are usually dedicated to help ensure that the …

Standardisation of UK electric vehicle charging protocol, payment and charge point connection

K Chamberlain, S Al-Majeed - World Electric Vehicle Journal, 2021 - mdpi.com
Standardisation is fundamental to ensuring that new technologies develop and grow
unhindered by manufacturer-led standards. Dismissing this vital issue can have a …

On learning associations of faces and voices

C Kim, HV Shin, TH Oh, A Kaspar, M Elgharib… - Computer Vision–ACCV …, 2019 - Springer
In this paper, we study the associations between human faces and voices. Audiovisual
integration, specifically the integration of facial and vocal information is a well-researched …

Robot voices in daily life: Vocal human-likeness and application context as determinants of user acceptance

S Schreibelmayr, M Mara - Frontiers in Psychology, 2022 - frontiersin.org
The growing popularity of speech interfaces goes hand in hand with the creation of synthetic
voices that sound ever more human. Previous research has been inconclusive about …

Cross-modal distillation for speaker recognition

Y Jin, G Hu, H Chen, D Miao, L Hu… - Proceedings of the AAAI …, 2023 - ojs.aaai.org
Speaker recognition achieved great progress recently, however, it is not easy or efficient to
further improve its performance via traditional solutions: collecting more data and designing …

Disentangled representation learning for cross-modal biometric matching

H Ning, X Zheng, X Lu, Y Yuan - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Cross-modal biometric matching (CMBM) aims to determine the corresponding voice from a
face, or identify the corresponding face from a voice. Recently, many CMBM methods have …

Audio-visual speaker recognition with a cross-modal discriminative network

R Tao, RK Das, H Li - arXiv preprint arXiv:2008.03894, 2020 - arxiv.org
Audio-visual speaker recognition is one of the tasks in the recent 2019 NIST speaker
recognition evaluation (SRE). Studies in neuroscience and computer science all point to the …