Speech Emotion Recognition Using Convolutional Neural Network and Its Use Case in Digital Healthcare

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Authors

Nishargo Nigar¹ , N/a N/a²

1. Hamburg University of Technology
2. N/a

Conference / event

Meeting at Hamburg University of Technology, May 2023 (Virtual)

Poster summary

My project aims to use the Convolutional Neural Network (CNN) to recognize emotions from unseen data (i.e., audio files) and label them according to different emotional ranges using appropriate variables, such as modality, emotion, intensity, repetition, etc.

Keywords

Machine Learning, AI, Digital Healthcare

Research areas

Computer and Information Science

References

No data provided

Funding

No data provided

Supplemental files

No data provided

Additional information

Competing interests

No competing interests were disclosed.

Data availability statement

The datasets generated during and / or analyzed during the current study are available elsewhere (e.g., repository).
www.kaggle.com/datasets/uwrfkaggler/ravdess-emotional-speech-audio

Creative Commons license

Copyright © 2024 Nigar et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.