Spoken Language Identification of Indian Languages in Adversarial Synthetic and Noisy Attacking Environments-Reference-Cited by-同舟云学术

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Spoken Language Identification of Indian Languages in Adversarial Synthetic and Noisy Attacking Environments

Published:2022-06-23 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Computing, Communication, Security and Intelligent Systems (IC3SIS)
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Author:

Ambili A R¹,Roy Rajesh Cherian²

Affiliation:

1. Federal Institute of Science and Technology APJ Abdul Kalam Technological University,Ernakulam,India

2. Muthoot Institute of Science and Technology APJ Abdul Kalam Technological University,Ernakulam,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9885260/9885243/09885560.pdf?arnumber=9885560

Reference23 articles.

1. Decision-level Feature Switching as a Paradigm for Replay Attack Detection;saranya;InterSpeech,2018

2. ANALYSING REPLAY SPOOFING COUNTERMEASURE PERFORMANCE UNDER VARIED CONDITIONS

3. A Comparative Study on Recent Neural Spoofing Countermeasures for Synthetic Speech Detection

4. Replay Attack Detection Using DNN for Channel Discrimination

5. Multilingual voice impersonation dataset and evaluation;mandalapu;International Conference on Intelligent Technologies and Applications,2020

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Forensic Perspective on Voice Biometrics and AI : A Review;International Journal of Scientific Research in Science and Technology;2024-09-04

2. LIFA: Language identification from audio with LPCC-G features;Multimedia Tools and Applications;2023-12-14

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