Embedding stacked bottleneck vocal features in a LSTM architecture for automatic pain level classification during emergency triage - researchr publication authors

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Fu-Sheng Tsai, Yi-Ming Weng, Chip-Jin Ng, Chi-Chun Lee. Embedding stacked bottleneck vocal features in a LSTM architecture for automatic pain level classification during emergency triage. In Seventh International Conference on Affective Computing and Intelligent Interaction, ACII 2017, San Antonio, TX, USA, October 23-26, 2017. pages 313-318, IEEE Computer Society, 2017. [doi]

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