Visual Speech Recognition for Kannada Language Using VGG16 Convolutional Neural Network
Visual speech recognition (VSR) is a method of reading speech by noticing the lip actions of the narrators. Visual speech significantly depends on the visual features derived from the image sequences. Visual speech recognition is a stimulating process that poses various challenging tasks to human ma...
Main Authors: | Shashidhar Rudregowda, Sudarshan Patil Kulkarni, Gururaj H L, Vinayakumar Ravi, Moez Krichen |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-03-01
|
Series: | Acoustics |
Subjects: | |
Online Access: | https://www.mdpi.com/2624-599X/5/1/20 |
Similar Items
-
Audiovisual speech recognition based on a deep convolutional neural network
by: Shashidhar Rudregowda, et al.
Published: (2024-03-01) -
Klasifikasi Kanker Kulit menggunakan Metode Convolutional Neural Network dengan Arsitektur VGG-16
by: REGITA AGUSTINA, et al.
Published: (2022-04-01) -
PROTOTIPE APLIKASI PENGENALAN WAYANG KULIT MENGGUNAKAN CNN BERBASIS VGG16
by: dwi puji prabowo, et al.
Published: (2021-12-01) -
Convolutional Neural Network featuring VGG-16 Model for Glioma Classification
by: Minarno Eko Agus, et al.
Published: (2022-09-01) -
Monkeypox and Measles Detection using CNN with VGG-16 Transfer Learning
by: M. Hafidz Ariansyah, et al.
Published: (2023-02-01)