hpy_AugmentationSERwithFeatureFushion. To mitigate the problem of database sparsity and inter-class imbalance, this study propose a SER model based on Starganv2-VC for utterance-level data augmentation and combine handcrafted features embeddings with high-level features retrieved by transformer-based pre-training wav2vec 2.0.

Problem

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Audience

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Market

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Pricing

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.