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Looking to Listen: Audio-Visual Speech Separation
People are remarkably good at focusing their attention on a particular person in a noisy environment, mentally “muting” all other voices and sounds. Known as the cocktail party effect, this capability comes natural to us humans. However, automatic speech separation — separating an audio signal into its individual speech sources — while a well-studied problem, remains a significant challenge for computers.
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Tesla Full Self-Driving Images Leaked
Tesla’s full self-driving autonomous vehicle feature is coming. An image leaked on Tuesday apparently shows the new user interface of a test-car. The image shows how the autopilot software/system views and interprets the world.
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Japan team maps ‘semi-infinite’ trove of rare earth elements
The deposit, found within Japan’s exclusive economic zone waters, contains more than 16 million tons of the elements needed to build high-tech products ranging from mobile phones to electric vehicles, according to the study, released Tuesday in the journal Scientific Reports.
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The emotions we feel may shape what we see
Our emotional state in a given moment may influence what we see, according to findings published in Psychological Science, a journal of the Association for Psychological Science. In two experiments, researchers found that participants saw a neutral face as smiling more when it was paired with an unseen positive image.
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Iron Age study targets British DNA mystery
A recent study showed that the present-day genetic landscape of Britain was largely laid down by the Bronze Age.
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Towards a Virtual Stuntman
Motion control problems have become standard benchmarks for reinforcement learning, and deep RL methods have been shown to be effective for a diverse suite of tasks ranging from manipulation to locomotion. However, characters trained with deep RL often exhibit unnatural behaviours, bearing artifacts such as jittering, asymmetric gaits, and excessive movement of limbs. Can we train our characters to produce more natural behaviours?
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