Analysis of X-Vectors for Low-Resource Speech Recognition-Reference-Cited by-同舟云学术

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Analysis of X-Vectors for Low-Resource Speech Recognition

Published:2021-06-06 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Karafiat Martin,Vesely Karel,Cernocky Jan Honza,Profant Jan,Nytra Jiri,Hlavacek Miroslav,Pavlicek Tomas

Funder

National Science Foundation

Intelligence Advanced Research Projects Activity

Air Force Research Laboratory

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9413349/9413350/09414725.pdf?arnumber=9414725

Cited by 5 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. MEConformer: Highly representative embedding extractor for speaker verification via incorporating selective convolution into deep speaker encoder;Expert Systems with Applications;2024-06

2. Acoustic Model Adaption Using x-vectors for Improved Automatic Speech Recognition;2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2022-11-07

3. Speaker adaptation for Wav2vec2 based dysarthric ASR;Interspeech 2022;2022-09-18

4. Acoustic Model Adaptation In Reverberant Conditions Using Multi-task Learned Embeddings;2022 30th European Signal Processing Conference (EUSIPCO);2022-08-29

5. The XMUSPEECH System for Accented English Automatic Speech Recognition;Applied Sciences;2022-01-29

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