Curriculum learning based approach for noise robust language identification using DNN with attention-Reference-Cited by-同舟云学术

Curriculum learning based approach for noise robust language identification using DNN with attention

Published:2018-11 Issue: Volume:110 Page:290-297
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Vuddagiri Ravi Kumar,Vydana Hari Krishna,Vuppala Anil Kumar

Funder

SERB

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference35 articles.

1. Language identification: A tutorial;Ambikairajah;IEEE Circuits and Systems Magazine,2011

2. Curriculum learning;Bengio,2009

3. Suppression of acoustic noise in speech using spectral subtraction;Boll;IEEE Transactions on Acoustics, Speech, and Signal Processing,1979

4. Braun, S., Neil, D., & Liu, S.-C. (2016). A curriculum learning method for improved noise robustness in automatic speech recognition. arXiv:1606.06864.

5. Significance of neural phonotactic models for large-scale spoken language identification;Brij Mohan Lal,2017

Cited by 22 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. Open-vocabulary object detection via debiased curriculum self-training;Expert Systems with Applications;2024-12

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

3. Real Time Raspberry Pi based System for Linguistic Content Recognition from Speech;2023-08-07

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

5. Spoken Language Identification of Indian Languages in Adversarial Synthetic and Noisy Attacking Environments;2022 International Conference on Computing, Communication, Security and Intelligent Systems (IC3SIS);2022-06-23