Modified layer deep convolution neural network for text-independent speaker recognition-Reference-Cited by-同舟云学术

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Modified layer deep convolution neural network for text-independent speaker recognition

Published:2022-07-09 Issue: Volume: Page:1-13
ISSN:0952-813X
Container-title:Journal of Experimental & Theoretical Artificial Intelligence
language:en
Short-container-title:Journal of Experimental & Theoretical Artificial Intelligence

Author:

Karthikeyan V¹,S Suja Priyadharsini²^ORCID

Affiliation:

1. Department of Electronics and Communication Engineering, Kalasalingam Institute of Technology, Krishnankoil, Tamilnadu, India

2. Department of Electronics and Communication Engineering, Anna University Regional Campus-Tirunelveli, Tirunelveli, Tamilnadu, India

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Theoretical Computer Science,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2022.2092560

Reference44 articles.

1. Classification of speech dysfluencies with MFCC and LPCC features

2. Deep Speaker Embeddings for Short-Duration Speaker Verification

3. Biometric template protection for speaker recognition based on universal background models

4. Text-Independent Speaker Identification Using Deep Learning Model of Convolution Neural Network

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3. Deep Learning for Speaker Recognition: A Comparative Analysis of 1D-CNN and LSTM Models Using Diverse Datasets;2024 4th Interdisciplinary Conference on Electrics and Computer (INTCEC);2024-06-11

4. A stacked convolutional neural network framework with multi-scale attention mechanism for text-independent voiceprint recognition;Pattern Analysis and Applications;2024-04-27

5. Analysis of Deep Generative Model Impact on Feature Extraction and Dimension Reduction for Short Utterance Text-Independent Speaker Verification;Circuits, Systems, and Signal Processing;2024-04-13

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