Edge machine learning for ai-enabled iot devices: A review
In a few years, the world will be populated by billions of connected devices that will be
placed in our homes, cities, vehicles, and industries. Devices with limited resources will …
placed in our homes, cities, vehicles, and industries. Devices with limited resources will …
[PDF][PDF] A review of speech-centric trustworthy machine learning: Privacy, safety, and fairness
Speech-centric machine learning systems have revolutionized a number of leading
industries ranging from transportation and healthcare to education and defense …
industries ranging from transportation and healthcare to education and defense …
A CNN-assisted enhanced audio signal processing for speech emotion recognition
Speech is the most significant mode of communication among human beings and a potential
method for human-computer interaction (HCI) by using a microphone sensor. Quantifiable …
method for human-computer interaction (HCI) by using a microphone sensor. Quantifiable …
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 …
Preserving privacy in speaker and speech characterisation
Speech recordings are a rich source of personal, sensitive data that can be used to support
a plethora of diverse applications, from health profiling to biometric recognition. It is therefore …
a plethora of diverse applications, from health profiling to biometric recognition. It is therefore …
1D-CNN: Speech Emotion Recognition System Using a Stacked Network with Dilated CNN Features.
S Kwon - Computers, Materials & Continua, 2021 - search.ebscohost.com
Emotion recognition from speech data is an active and emerging area of research that plays
an important role in numerous applications, such as robotics, virtual reality, behavior …
an important role in numerous applications, such as robotics, virtual reality, behavior …
Exploring emotion analysis using artificial intelligence, geospatial information systems, and extended reality for urban services
S Rokhsaritalemi, A Sadeghi-Niaraki, SM Choi - IEEE Access, 2023 - ieeexplore.ieee.org
The advent of human emotion data availability signifies a pivotal advancement, propelling
intelligent systems to elevate human-technology interaction. The fusion of emotions with …
intelligent systems to elevate human-technology interaction. The fusion of emotions with …
An engineering view on emotions and speech: From analysis and predictive models to responsible human-centered applications
The substantial growth of Internet-of-Things technology and the ubiquity of smartphone
devices has increased the public and industry focus on speech emotion recognition (SER) …
devices has increased the public and industry focus on speech emotion recognition (SER) …
Attribute inference attack of speech emotion recognition in federated learning settings
Speech emotion recognition (SER) processes speech signals to detect and characterize
expressed perceived emotions. Many SER application systems often acquire and transmit …
expressed perceived emotions. Many SER application systems often acquire and transmit …
Ethics and good practice in computational paralinguistics
With the advent of 'heavy Artificial Intelligence'–big data, deep learning, and ubiquitous use
of the internet, ethical considerations are widely dealt with in public discussions and …
of the internet, ethical considerations are widely dealt with in public discussions and …