The recognition of speech defects using convolutional neural network
The paper proposes a solution to improve the efficiency of recognition of speech defects in children by processing the sound data of the spectrogram based on convolutional neural network models. For a successful existence in society, a person needs the most important skill - the ability to communic...
Main Authors: | Olha Pronina, Olena Piatykop |
---|---|
Format: | Article |
Language: | English |
Published: |
Academy of Cognitive and Natural Sciences
2023-03-01
|
Series: | CTE Workshop Proceedings |
Subjects: | |
Online Access: | https://acnsci.org/journal/index.php/cte/article/view/554 |
Similar Items
-
Audiovisual speech recognition based on a deep convolutional neural network
by: Shashidhar Rudregowda, et al.
Published: (2024-03-01) -
Speech Enhancement Algorithm Based on a Convolutional Neural Network Reconstruction of the Temporal Envelope of Speech in Noisy Environments
by: Rahim Soleymanpour, et al.
Published: (2023-01-01) -
Speech Emotion Recognition Using Convolutional Neural Networks with Attention Mechanism
by: Konstantinos Mountzouris, et al.
Published: (2023-10-01) -
Lipreading Architecture Based on Multiple Convolutional Neural Networks for Sentence-Level Visual Speech Recognition
by: Sanghun Jeon, et al.
Published: (2021-12-01) -
Spoofing speech detection using temporal convolutional neural network
by: Xiao, Xiong, et al.
Published: (2018)