Výsledky vyhledávání - "Arindrima Datta"

Autor: Anjuli Kannan, Brian Roark, Bhuvana Ramabhadran, Jesse Emond, Arindrima Datta

Publikováno v: ICASSP

Multilingual Automated Speech Recognition (ASR) systems allow for the joint training of data-rich and data-scarce languages in a single model. This enables data and parameter sharing across languages, which is especially beneficial for the data-scarc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a151204da3e0d461f9892fc4c305984
http://arxiv.org/abs/2004.09571

Zobrazit plný text záznamu

Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model

Autor: Yonghui Wu, Zhifeng Chen, Eugene Weinstein, Tara N. Sainath, Seungji Lee, Anjuli Kannan, Arindrima Datta, Ankur Bapna, Bhuvana Ramabhadran

Publikováno v: INTERSPEECH

Multilingual end-to-end (E2E) models have shown great promise in expansion of automatic speech recognition (ASR) coverage of the world's languages. They have shown improvement over monolingual systems, and have simplified training and serving by elim

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6894d46cb3e24c527c9f7190e6ded635
https://doi.org/10.21437/interspeech.2019-2858

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání