11 citations · 28 across the 7 of their papers we have counts for
7 papers
Sparks of Large Audio Models: A Survey and Outlook
Siddique Latif, Moazzam Shoukat, Fahad Shamshad +8
This survey paper provides a comprehensive overview of the recent advancements and challenges in applying large language models to the field of audio signal processing. Audio proce…
Cross-Language Speech Emotion Recognition Using Multimodal Dual Attention Transformers
Syed Aun Muhammad Zaidi, Siddique Latif, Junaid Qadir
Despite the recent progress in speech emotion recognition (SER), state-of-the-art systems are unable to achieve improved performance in cross-language settings. In this paper, we p…
A Preliminary Study on Augmenting Speech Emotion Recognition using a Diffusion Model
Ibrahim Malik, Siddique Latif, Raja Jurdak +1
In this paper, we propose to utilise diffusion models for data augmentation in speech emotion recognition (SER). In particular, we present an effective approach to utilise improved…
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…
Lightweight Toxicity Detection in Spoken Language: A Transformer-based Approach for Edge Devices
Ahlam Husni Abu Nada, Siddique Latif, Junaid Qadir
Toxicity is a prevalent social behavior that involves the use of hate speech, offensive language, bullying, and abusive speech. While text-based approaches for toxicity detection a…
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…