Improved Multilingual Training of Stacked Neural Network Acoustic Models for Low Resource Languages-Reference-Cited by-同舟云学术

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Improved Multilingual Training of Stacked Neural Network Acoustic Models for Low Resource Languages

Published:2016-09-08 Issue: Volume: Page:
ISSN:
Container-title:Interspeech 2016
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Author:

Alumäe Tanel,Tsakalidis Stavros,Schwartz Richard

Publisher

ISCA

Cited by 11 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. MoLE : Mixture Of Language Experts For Multi-Lingual Automatic Speech Recognition;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

2. Adaptive Activation Network for Low Resource Multilingual Speech Recognition;2022 International Joint Conference on Neural Networks (IJCNN);2022-07-18

3. Feature learning for efficient ASR-free keyword spotting in low-resource languages;Computer Speech & Language;2022-01

4. Model-Agnostic Fast Adaptive Multi-Objective Balancing Algorithm for Multilingual Automatic Speech Recognition Model Training;Interspeech 2021;2021-08-30

5. An exploration of semi-supervised and language-adversarial transfer learning using hybrid acoustic model for hindi speech recognition;Journal of Reliable Intelligent Environments;2021-04-08

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