Cross-lingual and ensemble MLPs strategies for low-resource speech recognition

Cross-Lingual Subspace Gaussian Mixture Models for Low-Resource Speech Recognition

IEEE/ACM Transactions on Audio Speech and Language Processing ◽

10.1109/tasl.2013.2281575 ◽

2014 ◽

Vol 22 (1) ◽

pp. 17-27 ◽

Cited By ~ 10

Author(s):

Liang Lu ◽

Arnab Ghoshal ◽

Steve Renals

Keyword(s):

Speech Recognition ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Low Resource ◽

Cross Lingual

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Cross-lingual language modeling for low-resource speech recognition

10.14711/thesis-b1180211 ◽

2012 ◽

Author(s):

Ping Xu

Keyword(s):

Speech Recognition ◽

Language Modeling ◽

Low Resource ◽

Cross Lingual

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A comparative study of BNF and DNN multilingual training on cross-lingual low-resource speech recognition

10.21437/interspeech.2015-481 ◽

2015 ◽

Author(s):

Haihua Xu ◽

Van Hai Do ◽

Xiong Xiao ◽

Eng Siong Chng

Keyword(s):

Speech Recognition ◽

Comparative Study ◽

Low Resource ◽

Cross Lingual

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Cross-Lingual Language Modeling for Low-Resource Speech Recognition

IEEE Transactions on Audio Speech and Language Processing ◽

10.1109/tasl.2013.2244088 ◽

2013 ◽

Vol 21 (6) ◽

pp. 1134-1144 ◽

Cited By ~ 1

Author(s):

Ping Xu ◽

P. Fung

Keyword(s):

Speech Recognition ◽

Language Modeling ◽

Low Resource ◽

Cross Lingual

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Subspace mixture model for low-resource speech recognition in cross-lingual settings

2013 IEEE International Conference on Acoustics, Speech and Signal Processing ◽

10.1109/icassp.2013.6639088 ◽

2013 ◽

Cited By ~ 3

Author(s):

Yajie Miao ◽

Florian Metze ◽

Alex Waibel

Keyword(s):

Speech Recognition ◽

Mixture Model ◽

Low Resource ◽

Cross Lingual

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Exploiting Adapters for Cross-lingual Low-resource Speech Recognition

IEEE/ACM Transactions on Audio Speech and Language Processing ◽

10.1109/taslp.2021.3138674 ◽

2021 ◽

pp. 1-1

Author(s):

Wenxin Hou ◽

Han Zhu ◽

Yidong Wang ◽

Jindong Wang ◽

Tao Qin ◽

...

Keyword(s):

Speech Recognition ◽

Low Resource ◽

Cross Lingual

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Signal Processing Cues to Improve Automatic Speech Recognition for Low Resource Indian Languages

10.21437/sltu.2018-6 ◽

2018 ◽

Cited By ~ 1

Author(s):

Arun Baby ◽

Karthik Pandia D S ◽

Hema A Murthy

Keyword(s):

Signal Processing ◽

Speech Recognition ◽

Automatic Speech Recognition ◽

Indian Languages ◽

Low Resource

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TDNN-based Multilingual Speech Recognition System for Low Resource Indian Languages

10.21437/interspeech.2018-2117 ◽

2018 ◽

Cited By ~ 7

Author(s):

Noor Fathima ◽

Tanvina Patel ◽

Mahima C ◽

Anuroop Iyengar

Keyword(s):

Speech Recognition ◽

Recognition System ◽

Speech Recognition System ◽

Indian Languages ◽

Low Resource ◽

Multilingual Speech Recognition

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Active Learning Methods for Low Resource End-to-End Speech Recognition

10.21437/interspeech.2019-2316 ◽

2019 ◽

Cited By ~ 2

Author(s):

Karan Malhotra ◽

Shubham Bansal ◽

Sriram Ganapathy

Keyword(s):

Speech Recognition ◽

Active Learning ◽

Learning Methods ◽

Low Resource ◽

End To End

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A General Procedure for Improving Language Models in Low-Resource Speech Recognition

2019 International Conference on Asian Language Processing (IALP) ◽

10.1109/ialp48816.2019.9037726 ◽

2019 ◽

Author(s):

Qian Liu ◽

Wei-Qiang Zhang ◽

Jia Liu ◽

Yao Liu

Keyword(s):

Speech Recognition ◽

General Procedure ◽

Language Models ◽

Low Resource

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