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Speech Emotion Recognition Using Convolutional Neural Network and Its Use Case in Digital Healthcare
发表日期 July 19, 2024 (DOI: https://doi.org/10.54985/peeref.2407p6861077)
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作者
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Nishargo Nigar1 , N/a N/a2
- Hamburg University of Technology
- N/a
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会议/活动
- Meeting at Hamburg University of Technology, May 2023 (虚拟会议)
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海报摘要
- 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.
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关键词
- Machine Learning, AI, Digital Healthcare
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研究领域
- Computer and Information Science
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参考文献
- 暂无数据
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基金
- 暂无数据
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补充材料
- 暂无数据
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附加信息
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- 利益冲突
- No competing interests were disclosed.
- 数据可用性声明
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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
- 知识共享许可协议
- 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.
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引用
Nigar, N., N/a, N. Speech Emotion Recognition Using Convolutional Neural Network and Its Use Case in Digital Healthcare [not peer reviewed]. Peeref 2024 (poster).
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