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pro vyhledávání: '"Feldman, Yael"'
Large transformer-based models have significant potential for speech transcription and translation. Their self-attention mechanisms and parallel processing enable them to capture complex patterns and dependencies in audio sequences. However, this pot
Externí odkaz:
http://arxiv.org/abs/2409.15869
Autor:
Turetzky, Arnon, Tal, Or, Segal-Feldman, Yael, Dissen, Yehoshua, Zeldes, Ella, Roth, Amit, Cohen, Eyal, Shrem, Yosi, Chernyak, Bronya R., Seleznova, Olga, Keshet, Joseph, Adi, Yossi
We present HebDB, a weakly supervised dataset for spoken language processing in the Hebrew language. HebDB offers roughly 2500 hours of natural and spontaneous speech recordings in the Hebrew language, consisting of a large variety of speakers and to
Externí odkaz:
http://arxiv.org/abs/2407.07566
Autor:
Segal-Feldman, Yael, Hitczenko, Kasia, Goldrick, Matthew, Buchwald, Adam, Roberts, Angela, Keshet, Joseph
Publikováno v:
In Computer Speech & Language March 2025 90
Publikováno v:
In Algal Research March 2020 46
Publikováno v:
Plant Physiology, 2018 Jul 01. 177(3), 918-926.
Externí odkaz:
https://www.jstor.org/stable/26508158
Autor:
Weiner, Iddo, Shahar, Noam, Feldman, Yael, Landman, Shira, Milrad, Yuval, Ben-Zvi, Oren, Avitan, Meital, Dafni, Eyal, Schweitzer, Shira, Eilenberg, Haviva, Atar, Shimshi, Diament, Alon, Tuller, Tamir, Yacoby, Iftach
Publikováno v:
In Algal Research July 2018 33:310-315
Autor:
Feldman, Yael S.
Publikováno v:
AJS Review, 2004 Apr 01. 28(1), 83-103.
Externí odkaz:
https://www.jstor.org/stable/4131511
Autor:
Feldman, Yael S.
Publikováno v:
PMLA, 1999 May 01. 114(3), 373-389.
Externí odkaz:
https://www.jstor.org/stable/463377