Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Nikhil Kumar Lakumarapu"'
Publikováno v:
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::232abf7379545d0d6b1ab78a140d95c3
https://doi.org/10.18653/v1/2022.naacl-main.3
https://doi.org/10.18653/v1/2022.naacl-main.3
Autor:
Beom-Seok Lee, In-Chul Hwang, Chanwoo Kim, Sathish Reddy Indurthi, Seokchan Ahn, Nikhil Kumar Lakumarapu, Sangha Kim, Hyojung Han, Mohd Abbas Zaidi
Publikováno v:
ICASSP
In general, the direct Speech-to-text translation (ST) is jointly trained with Automatic Speech Recognition (ASR), and Machine Translation (MT) tasks. However, the issues with the current joint learning strategies inhibit the knowledge transfer acros
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b473833ef67a7d71e72aa644adccacc
https://doi.org/10.1109/icassp39728.2021.9414703
https://doi.org/10.1109/icassp39728.2021.9414703
Autor:
Beom-Seok Lee, Nikhil Kumar Lakumarapu, Sangha Kim, Houjeung Han, Sathish Reddy Indurthi, Chanwoo Kim, Insoo Chung
Publikováno v:
ICASSP
Collecting large amounts of data to train end-to-end Speech Translation (ST) models is more difficult compared to the ASR and MT tasks. Previous studies have proposed the use of transfer learning approaches to overcome the above difficulty. These app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca954861ae5e9714f889d8934ff14e06
https://doi.org/10.1109/icassp40776.2020.9054759
https://doi.org/10.1109/icassp40776.2020.9054759
Autor:
Hou Jeung Han, Sathish Reddy Indurthi, Beom-Seok Lee, Nikhil Kumar Lakumarapu, Sangha Kim, Mohd Abbas Zaidi
Publikováno v:
IWSLT
In this paper, we describe end-to-end simultaneous speech-to-text and text-to-text translation systems submitted to IWSLT2020 online translation challenge. The systems are built by adding wait-k and meta-learning approaches to the Transformer archite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::393264f2c7f2caa65fb682554dfc63a0
https://doi.org/10.18653/v1/2020.iwslt-1.5
https://doi.org/10.18653/v1/2020.iwslt-1.5