Artificial intelligence in clinical and genomic diagnostics
R Dias, A Torkamani - Genome medicine, 2019 - Springer
Artificial intelligence (AI) is the development of computer systems that are able to perform
tasks that normally require human intelligence. Advances in AI software and hardware …
tasks that normally require human intelligence. Advances in AI software and hardware …
Artificial empathy in marketing interactions: Bridging the human-AI gap in affective and social customer experience
Artificial intelligence (AI) continues to transform firm-customer interactions. However, current
AI marketing agents are often perceived as cold and uncaring and can be poor substitutes …
AI marketing agents are often perceived as cold and uncaring and can be poor substitutes …
Survey of deep representation learning for speech emotion recognition
Traditionally, speech emotion recognition (SER) research has relied on manually
handcrafted acoustic features using feature engineering. However, the design of …
handcrafted acoustic features using feature engineering. However, the design of …
Jointly fine-tuning" bert-like" self supervised models to improve multimodal speech emotion recognition
S Siriwardhana, A Reis, R Weerasekera… - arXiv preprint arXiv …, 2020 - arxiv.org
Multimodal emotion recognition from speech is an important area in affective computing.
Fusing multiple data modalities and learning representations with limited amounts of labeled …
Fusing multiple data modalities and learning representations with limited amounts of labeled …
x-vectors meet emotions: A study on dependencies between emotion and speaker recognition
In this work, we explore the dependencies between speaker recognition and emotion
recognition. We first show that knowledge learned for speaker recognition can be reused for …
recognition. We first show that knowledge learned for speaker recognition can be reused for …
Multi-task semi-supervised adversarial autoencoding for speech emotion recognition
Inspite the emerging importance of Speech Emotion Recognition (SER), the state-of-the-art
accuracy is quite low and needs improvement to make commercial applications of SER …
accuracy is quite low and needs improvement to make commercial applications of SER …
Isnet: Individual standardization network for speech emotion recognition
Speech emotion recognition plays an essential role in human-computer interaction.
However, cross-individual representation learning and individual-agnostic systems are …
However, cross-individual representation learning and individual-agnostic systems are …
Multimodal emotion recognition fusion analysis adapting BERT with heterogeneous feature unification
Human communication includes rich emotional content, thus the development of multimodal
emotion recognition plays an important role in communication between humans and …
emotion recognition plays an important role in communication between humans and …
Deep clustering with variational autoencoder
An autoencoder that learns a latent space in an unsupervised manner has many
applications in signal processing. However, the latent space of an autoencoder does not …
applications in signal processing. However, the latent space of an autoencoder does not …
Audio-based toxic language classification using self-attentive convolutional neural network
M Yousefi, D Emmanouilidou - 2021 29th European Signal …, 2021 - ieeexplore.ieee.org
The monumental increase in online social interaction activities such as social networking or
online gaming is often riddled by hostile or aggressive behavior that can lead to unsolicited …
online gaming is often riddled by hostile or aggressive behavior that can lead to unsolicited …