Cargando…
Construction of a Knowledge Map of Speech Emotion Features Based on Impulse-Coupled Neural Networks
This paper constructs knowledge graphs of speech emotion feature to support the expression of rich semantic information due to their unique graphical structure and to provide new ideas for studying speech emotion recognition recommendations. Impulse-coupled neural networks, as a mathematical abstrac...
Autor principal: | Song, Yan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9286990/ https://www.ncbi.nlm.nih.gov/pubmed/35845880 http://dx.doi.org/10.1155/2022/8766145 |
Ejemplares similares
-
Speech Emotion Recognition with Heterogeneous Feature Unification of Deep Neural Network
por: Jiang, Wei, et al.
Publicado: (2019) -
Research on Chinese Speech Emotion Recognition Based on Deep Neural Network and Acoustic Features
por: Lee, Ming-Che, et al.
Publicado: (2022) -
A novel speech emotion recognition method based on feature construction and ensemble learning
por: Guo, Yi, et al.
Publicado: (2022) -
Emotional Speech Recognition Using Deep Neural Networks
por: Trinh Van, Loan, et al.
Publicado: (2022) -
Impact of Feature Selection Algorithm on Speech Emotion Recognition Using Deep Convolutional Neural Network
por: Farooq, Misbah, et al.
Publicado: (2020)