Towards Pose-Invariant Audio-Visual Speech Enhancement in the Wild for Next-Generation Multi-Modal Hearing Aids
Conference Proceeding
Classical audio-visual (AV) speech enhancement (SE) and separation methods have been successful at operating under constrained environments; however, the speech quality and in...
Towards individualised speech enhancement: An SNR preference learning system for multi-modal hearing aids
Conference Proceeding
Since the advent of deep learning (DL), speech enhancement (SE) models have performed well under a variety of noise conditions. However, such systems may still introduce sonic...
Live Demonstration: Real-time Multi-modal Hearing Assistive Technology Prototype
Conference Proceeding
Hearing loss affects at least 1.5 billion people globally. The WHO estimates 83% of people who could benefit from hearing aids do not use them. Barriers to HA uptake are multi...
A comparative study of Persian sentiment analysis based on different feature combinations
Conference Proceeding
Dashtipour, K., Gogate, M., Adeel, A., Hussain, A., Alqarafi, A., & Durrani, T. (2019)
A comparative study of Persian sentiment analysis based on different feature combinations. https://doi.org/10.1007/978-981-10-6571-2_279
In recent years, the use of internet and correspondingly the number of online reviews, comments and opinions have increased significantly. It is indeed very difficult for huma...
Toward's Arabic multi-modal sentiment analysis
Conference Proceeding
Alqarafi, A., Adeel, A., Gogate, M., Dashitpour, K., Hussain, A., & Durrani, T. (2019)
Toward's Arabic multi-modal sentiment analysis. https://doi.org/10.1007/978-981-10-6571-2_290
In everyday life, people use internet to express and share opinions, facts, and sentiments about products and services. In addition, social media applications such as Facebook...
Convolutional MKL based multimodal emotion recognition and sentiment analysis
Conference Proceeding
Poria, S., Chaturvedi, I., Cambria, E., & Hussain, A. (2017)
Convolutional MKL based multimodal emotion recognition and sentiment analysis. https://doi.org/10.1109/ICDM.2016.0055
Technology has enabled anyone with an Internet connection to easily create and share their ideas, opinions and content with millions of other people around the world. Much of ...
Merging SenticNet and WordNet-Affect emotion lists for sentiment analysis
Conference Proceeding
Poria, S., Gelbukh, A., Cambria, E., Yang, P., Hussain, A., & Durrani, T. (2012)
Merging SenticNet and WordNet-Affect emotion lists for sentiment analysis. https://doi.org/10.1109/ICoSP.2012.6491803
SenticNet is currently one of the most comprehensive freely available semantic resources for opinion mining. However, it only provides numerical polarity scores, while more de...
SenticNet 2: A semantic and affective resource for opinion mining and sentiment analysis
Conference Proceeding
Cambria, E., Havasi, C., & Hussain, A. (2012)
SenticNet 2: A semantic and affective resource for opinion mining and sentiment analysis. In Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference, (202-207
Web 2.0 has changed the ways people communicate, collaborate, and express their opinions and sentiments. But despite social data on the Web being perfectly suitable for human ...