Predicting Level-Dependent Changes in Concurrent Vowel Scores Using the 2D-CNN Models-Reference-Cited by-同舟云学术

Predicting Level-Dependent Changes in Concurrent Vowel Scores Using the 2D-CNN Models

Published:2023 Issue: Volume:31 Page:2558-2566
ISSN:2329-9290
Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
language:
Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Malik Arsalan¹^ORCID,Agarwal Nipun¹^ORCID,Settibhaktini Harshavardhan²^ORCID,Chintanpalli Ananthakrishna³^ORCID

Affiliation:

1. Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science Pilani, Pilani, India

2. Department of Electrical, Electronics, and Communication Engineering, GITAM School of Technology, GITAM Deemed to be University, Visakhapatnam, India

3. Department of Communication Engineering, School of Electronics Engineering, Vellore Institute of Technology, Vellore, India

Funder

Ananthakrishna Chintanpalli's Seed

VIT University

RIG

Birla Institute of Technology and Science

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Link

http://xplorestaging.ieee.org/ielx7/6570655/9970249/10158504.pdf?arnumber=10158504

Reference47 articles.

1. Robust Object Recognition with Cortex-Like Mechanisms

2. Level-Dependent Changes in Concurrent Vowel Scores Using the Multi-layer Perceptron

3. Spectro-temporal modulation transfer function of single voxels in the human auditory cortex measured with high-resolution fMRI

4. Deep Neural Network Model of Hearing-Impaired Speech-in-Noise Perception

5. ImageNet classification with deep convolutional neural networks