![]() ![]() Music is a complex acoustic signal, sharing many similarities with natural language, so the model could potentially be adapted to translate speech. Using a deep learning neural network model, the data was translated to reconstruct and identify the piece of music. The research, published in the journal Scientific Reports, used a combination of two non-invasive methods – fMRI, which measures blood flow through the entire brain, and electroencephalogram (EEG), which measures what is happening in the brain in real time – to monitor a person’s brain activity whilst listening to a piece of music. Whilst there have been successful previous studies monitoring and reconstructing acoustic information from brain waves, many have used more invasive methods such as electrocortiography (ECoG) – which involves placing electrodes inside the skull to monitor the actual surface of the brain. The European Online Dispute Resolution (ODR)ĭr Ian Daly injecting conductive gel into an EEG capĮssex scientists wanted to find a less invasive way of decoding acoustic information from signals in the brain to identify and reconstruct a piece of music someone was listening to.Driving Innovation and Connectivity in Europe: Joining ‘5G for Smart Communities’ Projects.Towards Greener Horizons: Joining Forces to Optimize Offshore Wind Farms for Sustainability.EU invests €6.2 billion in sustainable, safe and efficient transport infrastructure.Building European Strategic Air Transport for Outsized Cargo (SATOC): A Path to Autonomy and Global Capability.Next-Level Sensations: Haptic Solutions Reshaping Air, Rail, and Sea Transportation.Our goal is your target in a future visionary way to create a synergy business bridge between SME’s companies and R&D laboratories to merge together in revolutionary and innovation projects. ![]()
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