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Outputs (123)

Factors Impacting Landscape Ruggedness in Control Problems: a Case Study (2024)
Presentation / Conference Contribution
Saliby, M. E., Medvet, E., Nadizar, G., Salvato, E., & Thomson, S. L. (2024, September). Factors Impacting Landscape Ruggedness in Control Problems: a Case Study. Presented at WIVACE 2024 (XVIII International Workshop on Artificial Life and Evolutionary Computation), Namur, Belgium

Understanding fitness landscapes in evolutionary robotics (ER) can provide valuable insights into the considered robotic problems as well as into the strategies found by evolutionary algorithms (EAs) to address them, ultimately guiding practitioners... Read More about Factors Impacting Landscape Ruggedness in Control Problems: a Case Study.

A Framework for Speech Enhancement based on Audio Signal and Speaker Embeddings (2024)
Presentation / Conference Contribution
Nazemi, A., Sami, A., Sami, M., & Hussain, A. (2024, September). A Framework for Speech Enhancement based on Audio Signal and Speaker Embeddings. Paper presented at 3rd COG-MHEAR Audio-Visual Speech Enhancement Challenge (AVSE), Cos, Greece

This study addresses the challenge of speech enhancement within an audio-only context. Our proposed framework extracts speaker embeddings and voice signals, subsequently integrating these components to synthesise a voice based on the extracted data.... Read More about A Framework for Speech Enhancement based on Audio Signal and Speaker Embeddings.

DeFT-Net: Dual-Window Extended Frequency Transformer for Rhythmic Motion Prediction (2024)
Presentation / Conference Contribution
Ademola, A., Sinclair, D., Koniaris, B., Hannah, S., & Mitchell, K. (2024, September). DeFT-Net: Dual-Window Extended Frequency Transformer for Rhythmic Motion Prediction. Presented at EG UK Computer Graphics & Visual Computing (2024), London

Enabling online virtual reality (VR) users to dance and move in a way that mirrors the real-world necessitates improvements in the accuracy of predicting human motion sequences paving way for an immersive and connected experience. However, the drawba... Read More about DeFT-Net: Dual-Window Extended Frequency Transformer for Rhythmic Motion Prediction.