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[HTML][HTML] Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations
Emotion recognition is the ability to precisely infer human emotions from numerous sources
and modalities using questionnaires, physical signals, and physiological signals. Recently …
and modalities using questionnaires, physical signals, and physiological signals. Recently …
An overview of affective speech synthesis and conversion in the deep learning era
Speech is the fundamental mode of human communication, and its synthesis has long been
a core priority in human–computer interaction research. In recent years, machines have …
a core priority in human–computer interaction research. In recent years, machines have …
Makelttalk: speaker-aware talking-head animation
We present a method that generates expressive talking-head videos from a single facial
image with audio as the only input. In contrast to previous attempts to learn direct map**s …
image with audio as the only input. In contrast to previous attempts to learn direct map**s …
Spoofing and countermeasures for speaker verification: A survey
While biometric authentication has advanced significantly in recent years, evidence shows
the technology can be susceptible to malicious spoofing attacks. The research community …
the technology can be susceptible to malicious spoofing attacks. The research community …
An overview of voice conversion systems
Voice transformation (VT) aims to change one or more aspects of a speech signal while
preserving linguistic information. A subset of VT, Voice conversion (VC) specifically aims to …
preserving linguistic information. A subset of VT, Voice conversion (VC) specifically aims to …
Personal voice assistant security and privacy—a survey
Personal voice assistants (PVAs) are increasingly used as interfaces to digital environments.
Voice commands are used to interact with phones, smart homes, or cars. In the United …
Voice commands are used to interact with phones, smart homes, or cars. In the United …
A deep learning framework for audio deepfake detection
Audio deepfakes have been increasingly emerging as a potential source of deceit, with the
development of avant-garde methods of synthetic speech generation. Hence, differentiating …
development of avant-garde methods of synthetic speech generation. Hence, differentiating …
Identity and content authentication for phone calls
H04L 9/32(2006.01) H04W 12/04(2009.01) H04L 29/06(2006.01) H04W 12/06(2009.01)
H04W 12/00(2009.01) H04W 12/10(2009.01)(52) US Ci.??? H04L 65/1076 (2013.01); …
H04W 12/00(2009.01) H04W 12/10(2009.01)(52) US Ci.??? H04L 65/1076 (2013.01); …
De-identification for privacy protection in multimedia content: A survey
S Ribaric, A Ariyaeeinia, N Pavesic - Signal Processing: Image …, 2016 - Elsevier
Privacy is one of the most important social and political issues in our information society,
characterized by a growing range of enabling and supporting technologies and services …
characterized by a growing range of enabling and supporting technologies and services …
Deepfakes as a threat to a speaker and facial recognition: An overview of tools and attack vectors
Deepfakes present an emerging threat in cyberspace. Recent developments in machine
learning make deepfakes highly believable, and very difficult to differentiate between what is …
learning make deepfakes highly believable, and very difficult to differentiate between what is …