Google Drive. To prepare the dataset: Put downloaded zip files under data directory, and run data_unzip.sh to extract the zip ...
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pytorch cross-modal Transformer using two features: MFCC from audio signal (1-channel); BERT last layer fine-tuned by multi-sentiment dataset. Requirements.
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STEP1: Convert input audio to text using Google ASR API · STEP2: Extract MFCC feature from input audio · STEP3: Conduct MLM on KoBERT through colloquial review ...
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