Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mavandadi, Sepand"'
We propose a new two-pass E2E speech recognition model that improves ASR performance by training on a combination of paired data and unpaired text data. Previously, the joint acoustic and text decoder (JATD) has shown promising results through the us
Externí odkaz:
http://arxiv.org/abs/2303.15293
Autor:
Zhang, Chao, Li, Bo, Sainath, Tara, Strohman, Trevor, Mavandadi, Sepand, Chang, Shuo-yiin, Haghani, Parisa
Language identification is critical for many downstream tasks in automatic speech recognition (ASR), and is beneficial to integrate into multilingual end-to-end ASR as an additional task. In this paper, we propose to modify the structure of the casca
Externí odkaz:
http://arxiv.org/abs/2209.06058
Autor:
Hu, Ke, Sainath, Tara N., He, Yanzhang, Prabhavalkar, Rohit, Strohman, Trevor, Mavandadi, Sepand, Wang, Weiran
Text-only and semi-supervised training based on audio-only data has gained popularity recently due to the wide availability of unlabeled text and speech data. In this work, we propose incorporating text-only and semi-supervised training into an atten
Externí odkaz:
http://arxiv.org/abs/2206.14716
Autor:
Wang, Weiran, Chen, Tongzhou, Sainath, Tara N., Variani, Ehsan, Prabhavalkar, Rohit, Huang, Ronny, Ramabhadran, Bhuvana, Gaur, Neeraj, Mavandadi, Sepand, Peyser, Cal, Strohman, Trevor, He, Yanzhang, Rybach, David
Language models (LMs) significantly improve the recognition accuracy of end-to-end (E2E) models on words rarely seen during training, when used in either the shallow fusion or the rescoring setups. In this work, we introduce LMs in the learning of hy
Externí odkaz:
http://arxiv.org/abs/2204.07553
Autor:
Peyser, Cal, Mavandadi, Sepand, Sainath, Tara N., Apfel, James, Pang, Ruoming, Kumar, Shankar
End-to-end (E2E) automatic speech recognition (ASR) systems lack the distinct language model (LM) component that characterizes traditional speech systems. While this simplifies the model architecture, it complicates the task of incorporating text-onl
Externí odkaz:
http://arxiv.org/abs/2008.10491
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.