246 citations · 1.4k across the 71 of their papers we have counts for
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Emotions Beyond Words: Non-Speech Audio Emotion Recognition With Edge Computing
Ibrahim Malik, Siddique Latif, Sanaullah Manzoor +3
Non-speech emotion recognition has a wide range of applications including healthcare, crime control and rescue, and entertainment, to name a few. Providing these applications using…
Generative Emotional AI for Speech Emotion Recognition: The Case for Synthetic Emotional Speech Augmentation
Abdullah Shahid, Siddique Latif, Junaid Qadir
Despite advances in deep learning, current state-of-the-art speech emotion recognition (SER) systems still have poor performance due to a lack of speech emotion datasets. This pape…
Privacy Enhanced Speech Emotion Communication using Deep Learning Aided Edge Computing
Hafiz Shehbaz Ali, Fakhar ul Hassan, Siddique Latif +2
Speech emotion sensing in communication networks has a wide range of applications in real life. In these applications, voice data are transmitted from the user to the central serve…
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
Siddique Latif, Rajib Rana, Sara Khalifa +3
Research on speech processing has traditionally considered the task of designing hand-engineered acoustic features (feature engineering) as a separate distinct problem from the tas…
Unsupervised Adversarial Domain Adaptation for Cross-Lingual Speech Emotion Recognition
Siddique Latif, Junaid Qadir, Muhammad Bilal
Cross-lingual speech emotion recognition (SER) is a crucial task for many real-world applications. The performance of SER systems is often degraded by the differences in the distri…
Variational Autoencoders for Learning Latent Representations of Speech Emotion: A Preliminary Study
Siddique Latif, Rajib Rana, Junaid Qadir +1
Learning the latent representation of data in unsupervised fashion is a very interesting process that provides relevant features for enhancing the performance of a classifier. For…