Improved Subword Modeling for WFST-Based Speech Recognition-Reference-Cited by-同舟云学术

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Improved Subword Modeling for WFST-Based Speech Recognition

Published:2017-08-20 Issue: Volume: Page:
ISSN:
Container-title:Interspeech 2017
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Author:

Smit Peter,Virpioja Sami,Kurimo Mikko

Publisher

ISCA

Cited by 24 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. Improving speech recognition systems for the morphologically complex Malayalam language using subword tokens for language modeling;EURASIP Journal on Audio, Speech, and Music Processing;2023-11-04

2. A Comparative Study on Selecting Acoustic Modeling Units for WFST-based Mongolian Speech Recognition;ACM Transactions on Asian and Low-Resource Language Information Processing;2023-10-13

3. Morphology aware data augmentation with neural language models for online hybrid ASR;Acta Linguistica Academica;2022-12-12

4. Vocabulary Expansion for the Sub-word WFST-Based Automatic Speech Recognition System;Proceedings of the Future Technologies Conference (FTC) 2022, Volume 3;2022-10-14

5. Low Resource Comparison of Attention-based and Hybrid ASR Exploiting wav2vec 2.0;Interspeech 2022;2022-09-18

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