• Corpus ID: 160009690

Human Vocal Sentiment Analysis

@article{Huang2019HumanVS,
  title={Human Vocal Sentiment Analysis},
  author={Andrew Huang and Puwei Bao},
  journal={ArXiv},
  year={2019},
  volume={abs/1905.08632}
}
In this paper, we use several techniques with conventional vocal feature extraction (MFCC, STFT), along with deep-learning approaches such as CNN, and also context-level analysis, by providing the textual data, and combining different approaches for improved emotion-level classification. [] Key Method We apply hyperparameter sweeps and data augmentation to improve performance. Finally, we see if a real-time approach is feasible, and can be readily integrated into existing systems.
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