Semi-Supervised Learning with Limited Data for Automatic Speech Recognition-Reference-Cited by-同舟云学术

Semi-Supervised Learning with Limited Data for Automatic Speech Recognition

Published:2022-08-24 Issue: Volume: Page:
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Container-title:2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI)
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Author:

Pudo Mikolaj¹,Szczepanek Natalia²,Lukasiak Bozena³,Janicki Artur⁴

Affiliation:

1. Warsaw University of Technology,Samsung R&D Institute Poland,Krakow,Poland

2. Samsung R&D Institute Poland,Krakow,Poland

3. Samsung R&D Institute Poland,Warsaw,Poland

4. Warsaw University of Technology,Warsaw,Poland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9904954/9905077/09905112.pdf?arnumber=9905112

Reference33 articles.

1. Open-source Multi-speaker Corpora of the English Accents in the British Isles;demirsahin;Proc 12th Language Resources and Evaluation Conference (LREC 2020),2020

2. Common voice: A massively-multilingual speech corpus;ardila;arXiv 1912 06670,2020

3. TIMIT acoustic-phonetic continuous speech corpus;garofolo;Linguistic Data Consortium,1993

4. Deeptwist: Learning model compression via occasional weight distortion;lee;CoRR,2018

5. Integrated graph-based semi-supervised multiple/single instance learning framework for image annotation

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