About The project combines audio signal processing and deep learning to capture both spatial and temporal speech characteristics. CNN layers are used for feature extraction from Mel Spectrograms, ...
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The self-collected audio dataset was split in the ratio of 80:20. The proposed Multi-QuadEmoNet and other methods are experimented using python 3.10.4 version. The software packages employed for this ...
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