Depression Detection Using Wav2Vec 2.0 Speech Features

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This coursework explores depression detection using AI, emphasising mental health awareness and the role of technology. It introduces the wav2vec 2.0 model, detailing its features and prior applications. The methodology involves the DAIC-WOZ dataset for binary and multi-class classification, showcasing advancements over traditional methods. Practical implementations and dataset constraints are analysed, alongside cross-lingual generalisation possibilities. Future directions include expanding...