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...
Live Demonstration: Cloud-based Audio-Visual Speech Enhancement in Multimodal Hearing-aids
Conference Proceeding
Hearing loss is among the most serious public health problems, affecting as much as 20% of the worldwide population. Even cutting-edge multi-channel audio-only speech enhancem...
AVSE Challenge: Audio-Visual Speech Enhancement Challenge
Conference Proceeding
Aldana Blanco, A. L., Valentini-Botinhao, C., Klejch, O., Gogate, M., Dashtipour, K., Hussain, A., & Bell, P. (2023)
AVSE Challenge: Audio-Visual Speech Enhancement Challenge. In 2022 IEEE Spoken Language Technology Workshop (SLT) (465-471). https://doi.org/10.1109/slt54892.2023.10023284
Audio-visual speech enhancement is the task of improving the quality of a speech signal when video of the speaker is available. It opens-up the opportunity of improving speech...
Formulations and Algorithms to Find Maximal and Maximum Independent Sets of Graphs
Conference Proceeding
We propose four algorithms to find maximal and maximum independent sets of graphs. Two of the algorithms are non-polynomial in time, mainly binary programming and non-convex m...
A Novel Frame Structure for Cloud-Based Audio-Visual Speech Enhancement in Multimodal Hearing-aids
Conference Proceeding
Bishnu, A., Gupta, A., Gogate, M., Dashtipour, K., Adeel, A., Hussain, A., …Ratnarajah, T. (2022)
A Novel Frame Structure for Cloud-Based Audio-Visual Speech Enhancement in Multimodal Hearing-aids. In 2022 IEEE International Conference on E-health Networking, Application & Services (HealthCom). https://doi.org/10.1109/healthcom54947.2022.9982772
In this paper, we design a first of its kind transceiver (PHY layer) prototype for cloud-based audio-visual (AV) speech enhancement (SE) complying with high data rate and low ...
A Novel Speech Intelligibility Enhancement Model based on Canonical Correlation and Deep Learning
Conference Proceeding
Hussain, T., Diyan, M., Gogate, M., Dashtipour, K., Adeel, A., Tsao, Y., & Hussain, A. (2022)
A Novel Speech Intelligibility Enhancement Model based on Canonical Correlation and Deep Learning. In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). https://doi.org/10.1109/embc48229.2022.9871113
Current deep learning (DL) based approaches to speech intelligibility enhancement in noisy environments are often trained to minimise the feature distance between noise-free s...
Comparing the Performance of Different Classifiers for Posture Detection
Conference Proceeding
Suresh Kumar, S., Dashtipour, K., Gogate, M., Ahmad, J., Assaleh, K., Arshad, K., …Ahmad, W. (2022)
Comparing the Performance of Different Classifiers for Posture Detection. In Body Area Networks. Smart IoT and Big Data for Intelligent Health Management. BODYNETS 2021 (210-218). https://doi.org/10.1007/978-3-030-95593-9_17
Human Posture Classification (HPC) is used in many fields such as human computer interfacing, security surveillance, rehabilitation, remote monitoring, and so on. This paper c...
Detecting Alzheimer’s Disease Using Machine Learning Methods
Conference Proceeding
Dashtipour, K., Taylor, W., Ansari, S., Zahid, A., Gogate, M., Ahmad, J., …Abbasi, Q. (2022)
Detecting Alzheimer’s Disease Using Machine Learning Methods. In Body Area Networks. Smart IoT and Big Data for Intelligent Health Management 16th EAI International Conference, BODYNETS 2021, Virtual Event, October 25-26, 2021, Proceedings. https://doi.org/10.1007/978-3-030-95593-9_8
As the world is experiencing population growth, the portion of the older people, aged 65 and above, is also growing at a faster rate. As a result, the dementia with Alzheimer’...