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Can machine learning (ML) tools be used to identify which mood we’re in – and, if so, how accurate are these predictions? A team of researchers has investigated if very short audio segments are enough for ML models to tell how we feel, independent from the words that are spoken. They found that certain models can identify emotion in sound segments with approximately the same accuracy as humans. These models could enable continuous emotion classification in real-time scenarios, the researchers said. Words are important to express ourselves. What we don’t say, however, may be even more instrumen…

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