This is my official entry for the ACM ComPaRe 2023 challenge, performing Audio classificaion and SER using a Wav2Vec2-based model. Run asr.py to generate transcripts for the respective datasets, wav2vec2.py to run Wav2Vec2Stats, bert.py for the rudimentary BERT-based classifier on the transcripts, and evaluate.ipynb to generate the submission CSVs
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SER and audio classification using both a Wav2Vec2 based model and an ASR->Bert pipeline, as well as utilizing a multimodal late-fusion model
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