基于神经网络的混合集成学习在语音情感识别中的应用

IF 1.7 4区工程技术 Q2 COMPUTER SCIENCE, THEORY & METHODS

Multidimensional Systems and Signal Processing Pub Date : 2022-08-20 DOI:10.1007/s11045-022-00845-9

B. Yalamanchili, S. Samayamantula, K. R. Anne

引用次数: 2

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Neural network-based blended ensemble learning for speech emotion recognition

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Neural network-based blended ensemble learning for speech emotion recognition

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来源期刊

Multidimensional Systems and Signal Processing 工程技术-工程：电子与电气

CiteScore

5.60

自引率

8.00%

发文量

审稿时长

11.7 months

期刊介绍： Multidimensional Systems and Signal Processing publishes research and selective surveys papers ranging from the fundamentals to important new findings. The journal responds to and provides a solution to the widely scattered nature of publications in this area, offering unity of theme, reduced duplication of effort, and greatly enhanced communication among researchers and practitioners in the field. A partial list of topics addressed in the journal includes multidimensional control systems design and implementation; multidimensional stability and realization theory; prediction and filtering of multidimensional processes; Spatial-temporal signal processing; multidimensional filters and filter-banks; array signal processing; and applications of multidimensional systems and signal processing to areas such as healthcare and 3-D imaging techniques.