Research on LSTM+Attention Model of Infant Cry Classification
According to the different emotional needs of infants, the effective acquisition of frame-level speech features is realized, and the infant speech emotion recognition model based on the improved Long- and Short-Term Memory (LSTM) network is established. The frame-level speech features are used inste...
Saved in:
Main Authors: | Tianye Jian, Yizhun Peng, Wanlong Peng, Zhou Yang |
---|---|
Format: | article |
Language: | EN |
Published: |
Atlantis Press
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/79d57d420c7e4b93b6fe9f3e3217f915 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
BiLSTM-Attention: An Air Target Tactical Intention Recognition Model
by: Teng Fei, Liu Shu, Song Yafei
Published: (2021) -
The Concept of Using LSTM to Detect Moisture in Brick Walls by Means of Electrical Impedance Tomography
by: Grzegorz Kłosowski, et al.
Published: (2021) -
Comparison of Machine Learning Methods for Image Reconstruction Using the LSTM Classifier in Industrial Electrical Tomography
by: Grzegorz Kłosowski, et al.
Published: (2021) -
Water Flow Forecasting Based on River Tributaries Using Long Short-Term Memory Ensemble Model
by: Diogo F. Costa Silva, et al.
Published: (2021) -
A Multiscale Electricity Price Forecasting Model Based on Tensor Fusion and Deep Learning
by: Xiaoming Xie, et al.
Published: (2021)