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Significance of GMM-UBM based Modelling for Indian Language Identification

  • Published:2015 Issue: Volume:54 Page:231-236
  • ISSN:1877-0509
  • Container-title:Procedia Computer Science
  • language:en
  • Short-container-title:Procedia Computer Science

Author:

Kumar V. Ravi,Vydana Hari Krishna,Vuppala Anil Kumar

Publisher

Elsevier BV

Subject

General Engineering

Reference9 articles.

1. Language Identification: A Tutorial;Ambikairajah;Circuits and Systems Magazine IEEE,2011

2. Implicit Systems for Spoken Language Identification, Ph.D. Thesis;Nagarajan;IIT Madras,2004

3. IITKGP-MLILSC Speech Database for Language Identification;Maity;In National Conference on Communications (NCC), 2012, IEEE,2012

4. Pitch Synchronous and Glottal Closure Based Speech Analysis for Language Recognition;Rao;International Journal of Speech Technology,2013

5. Extraction and Representation of Prosodic Features for Language and Speaker Recognition;Mary;Speech Communication,2008

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1. Combined Bidirectional Long Short-Term Memory with Mel-Frequency Cepstral Coefficients Using Autoencoder for Speaker Recognition;Applied Sciences;2023-06-10

2. An Overview of Indian Spoken Language Recognition from Machine Learning Perspective;ACM Transactions on Asian and Low-Resource Language Information Processing;2022-11-12

3. Spoken Language Identification Using Prosody, Phonotactics, and Acoustics: A Review;Journal of Information & Knowledge Management;2022-07-14

4. Multi Tasking Synthetic Speech Detection on Indian Languages;2022 International Conference on Innovative Trends in Information Technology (ICITIIT);2022-02-12

5. Indian Language Identification Systems: A Review on databases and AI based Industrial Applications;2021 International Conference on Industrial Electronics Research and Applications (ICIERA);2021-12-22
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