Cargando…
Speech Emotion Recognition Using Convolution Neural Networks and Multi-Head Convolutional Transformer
Speech emotion recognition (SER) is a challenging task in human–computer interaction (HCI) systems. One of the key challenges in speech emotion recognition is to extract the emotional features effectively from a speech utterance. Despite the promising results of recent studies, they generally do not...
Autores principales: | Ullah, Rizwan, Asif, Muhammad, Shah, Wahab Ali, Anjam, Fakhar, Ullah, Ibrar, Khurshaid, Tahir, Wuttisittikulkij, Lunchakorn, Shah, Shashi, Ali, Syed Mansoor, Alibakhshikenari, Mohammad |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346498/ https://www.ncbi.nlm.nih.gov/pubmed/37448062 http://dx.doi.org/10.3390/s23136212 |
Ejemplares similares
-
End-to-End Deep Convolutional Recurrent Models for Noise Robust Waveform Speech Enhancement
por: Ullah, Rizwan, et al.
Publicado: (2022) -
Speaker Recognition Using Constrained Convolutional Neural Networks in Emotional Speech
por: Simić, Nikola, et al.
Publicado: (2022) -
Fusion-ConvBERT: Parallel Convolution and BERT Fusion for Speech Emotion Recognition
por: Lee, Sanghyun, et al.
Publicado: (2020) -
Cascaded Convolutional Neural Network Architecture for Speech Emotion Recognition in Noisy Conditions
por: Nam, Youngja, et al.
Publicado: (2021) -
Pre-trained Deep Convolution Neural Network Model With Attention for Speech Emotion Recognition
por: Zhang, Hua, et al.
Publicado: (2021)