Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Avidov, Gilad"'
Autor:
Kahn, Jacob, Pratap, Vineel, Likhomanenko, Tatiana, Xu, Qiantong, Hannun, Awni, Cai, Jeff, Tomasello, Paden, Lee, Ann, Grave, Edouard, Avidov, Gilad, Steiner, Benoit, Liptchinsky, Vitaliy, Synnaeve, Gabriel, Collobert, Ronan
As the computational requirements for machine learning systems and the size and complexity of machine learning frameworks increases, essential framework innovation has become challenging. While computational needs have driven recent compiler, network
Externí odkaz:
http://arxiv.org/abs/2201.12465
Autor:
Likhomanenko, Tatiana, Xu, Qiantong, Pratap, Vineel, Tomasello, Paden, Kahn, Jacob, Avidov, Gilad, Collobert, Ronan, Synnaeve, Gabriel
Is pushing numbers on a single benchmark valuable in automatic speech recognition? Research results in acoustic modeling are typically evaluated based on performance on a single dataset. While the research community has coalesced around various bench
Externí odkaz:
http://arxiv.org/abs/2010.11745
Autor:
Pratap, Vineel, Xu, Qiantong, Kahn, Jacob, Avidov, Gilad, Likhomanenko, Tatiana, Hannun, Awni, Liptchinsky, Vitaliy, Synnaeve, Gabriel, Collobert, Ronan
We design an online end-to-end speech recognition system based on Time-Depth Separable (TDS) convolutions and Connectionist Temporal Classification (CTC). We improve the core TDS architecture in order to limit the future context and hence reduce late
Externí odkaz:
http://arxiv.org/abs/2001.09727