Performance Comparison of Conventional and Deep Learning Classifiers for Punjabi Dialect Identification-Reference-Cited by-同舟云学术

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Performance Comparison of Conventional and Deep Learning Classifiers for Punjabi Dialect Identification

Published:2023-10-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS)
language:
Short-container-title:

Author:

Gill Manjot Kaur¹,Rani Simpel²,Singh Parminder³

Affiliation:

1. University College of Engineering, Punjabi University,Department of Computer Science & Engineering,Patiala,India

2. Punjabi University Guru Kashi Campus,Yadavindra Department of Engineering,Talwandi Sabo,India

3. Guru Nanak Dev Engineering College,Department of Computer Science and Engineering,Ludhiana,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10330805/10331621/10331624.pdf?arnumber=10331624

Reference24 articles.

1. Arabic dialect identification using different machine learning methods;Nahar;review, preprint,2022

2. ACOUSTIC-PHONETIC FEATURE BASED DIALECT IDENTIFICATION IN HINDI SPEECH

3. Development of a standard text and speech corpus for the Punjabi language

4. Punjabi Dialects Conversion System for Malwai and Doabi Dialects

5. Spoken Indian language identification: a review of features and databases

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