Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Grant Strimel"'
Autor:
Markus Müller, Anastasios Alexandridis, Zach Trozenski, Joel Whiteman, Grant Strimel, Nathan Susanj, Athanasios Mouchtaris, Siegfried Kunzmann
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Autor:
Rahul Pandey, Roger Ren, Qi Luo, Jing Liu, Ariya Rastrow, Ankur Gandhe, Denis Filimonov, Grant Strimel, Andreas Stolcke, Ivan Bulyko
End-to-End (E2E) automatic speech recognition (ASR) systems used in voice assistants often have difficulties recognizing infrequent words personalized to the user, such as names and places. Rare words often have non-trivial pronunciations, and in suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f33cfd7f5039f3615dd10a65c9c5d3c
http://arxiv.org/abs/2303.17131
http://arxiv.org/abs/2303.17131
Autor:
Christin Jose, Joe Wang, Grant Strimel, Mohammad Omar Khursheed, Yuriy Mishchenko, Brian Kulis
Conversational agents commonly utilize keyword spotting (KWS) to initiate voice interaction with the user. For user experience and privacy considerations, existing approaches to KWS largely focus on accuracy, which can often come at the expense of in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52cec781445eee1f25c1cee5acceca29
http://arxiv.org/abs/2206.07261
http://arxiv.org/abs/2206.07261
Autor:
Yi Xie, Jonathan J. Macoskey, Martin Radfar, Feng-Ju Chang, Brian King, Ariya Rastrow, Athanasios Mouchtaris, Grant Strimel
We present a streaming, Transformer-based end-to-end automatic speech recognition (ASR) architecture which achieves efficient neural inference through compute cost amortization. Our architecture creates sparse computation pathways dynamically at infe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcc89dd1cd70e0f33b19224de62b56d1