Spoken Language Identification in Unseen Target Domain Using Centroid Similarity Loss With Adaptive Gradient Blending-Reference-Cited by-同舟云学术

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Spoken Language Identification in Unseen Target Domain Using Centroid Similarity Loss With Adaptive Gradient Blending

Published:2024 Issue: Volume:12 Page:95959-95971
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

H Muralikrishna¹^ORCID,Kumar Sujeet²^ORCID,Dinesh Dileep Aroor³,Thenkanidiyoor Veena⁴

Affiliation:

1. Department of Electronics and Communication Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India

2. MANAS Laboratory, Indian Institute of Technology Mandi, Suran, Himachal Pradesh, India

3. Department of Computer Science and Engineering, Indian Institute of Technology Dharwad, Dharwad, Karnataka, India

4. Department of Computer Science and Engineering, National Institute of Technology Goa, Ponda, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10583891.pdf?arnumber=10583891

Reference39 articles.

1. Spoken Language Recognition: From Fundamentals to Practice

2. An Investigation of Deep Neural Network Architectures for Language Recognition in Indian Languages

3. Using Deep Neural Networks for Identification of Slavic Languages from Acoustic Signal

4. Dialect/Accent Classification Using Unrestricted Audio

5. Dialect Identification using Chroma-Spectral Shape Features with Ensemble Technique

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