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pro vyhledávání: '"Singh, Kritika"'
Autor:
Singh, Kritika
Urban neighborhoods that work toward carbon-free, climate-neutral goals, attain apositive energy balance, and aspire for excess renewable energy production aredefined as Positive Energy Districts (PEDs). PEDs are designed to contribute tosustainable
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-317595
Autor:
Shrivastava, Suyesh, Singh, Kritika, Kavishwar, Arvind, Kashyap, Teena, Golhani, Vandana, Patkar, Santosh, Kaur, Harpreet, Chakma, Tapas
Publikováno v:
In Clinical Epidemiology and Global Health January-February 2025 31
Autor:
Babu, Arun, Wang, Changhan, Tjandra, Andros, Lakhotia, Kushal, Xu, Qiantong, Goyal, Naman, Singh, Kritika, von Platen, Patrick, Saraf, Yatharth, Pino, Juan, Baevski, Alexei, Conneau, Alexis, Auli, Michael
This paper presents XLS-R, a large-scale model for cross-lingual speech representation learning based on wav2vec 2.0. We train models with up to 2B parameters on nearly half a million hours of publicly available speech audio in 128 languages, an orde
Externí odkaz:
http://arxiv.org/abs/2111.09296
Autor:
Srivastava, Sangeeta, Wang, Yun, Tjandra, Andros, Kumar, Anurag, Liu, Chunxi, Singh, Kritika, Saraf, Yatharth
Representation learning from unlabeled data has been of major interest in artificial intelligence research. While self-supervised speech representation learning has been popular in the speech research community, very few works have comprehensively an
Externí odkaz:
http://arxiv.org/abs/2110.07313
Autor:
Tjandra, Andros, Choudhury, Diptanu Gon, Zhang, Frank, Singh, Kritika, Conneau, Alexis, Baevski, Alexei, Sela, Assaf, Saraf, Yatharth, Auli, Michael
Language identification greatly impacts the success of downstream tasks such as automatic speech recognition. Recently, self-supervised speech representations learned by wav2vec 2.0 have been shown to be very effective for a range of speech tasks. We
Externí odkaz:
http://arxiv.org/abs/2107.04082
Publikováno v:
In Seminars in Arthritis and Rheumatism April 2024 65
Autor:
Sarı, Leda, Singh, Kritika, Zhou, Jiatong, Torresani, Lorenzo, Singhal, Nayan, Saraf, Yatharth
Although speaker verification has conventionally been an audio-only task, some practical applications provide both audio and visual streams of input. In these cases, the visual stream provides complementary information and can often be leveraged in c
Externí odkaz:
http://arxiv.org/abs/2102.06291
Autor:
Singh, Kritika, Manohar, Vimal, Xiao, Alex, Edunov, Sergey, Girshick, Ross, Liptchinsky, Vitaliy, Fuegen, Christian, Saraf, Yatharth, Zweig, Geoffrey, Mohamed, Abdelrahman
Many semi- and weakly-supervised approaches have been investigated for overcoming the labeling cost of building high quality speech recognition systems. On the challenging task of transcribing social media videos in low-resource conditions, we conduc
Externí odkaz:
http://arxiv.org/abs/2005.07850
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