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pro vyhledávání: '"Brusco, Pablo"'
Autor:
Shon, Suwon, Pasad, Ankita, Wu, Felix, Brusco, Pablo, Artzi, Yoav, Livescu, Karen, Han, Kyu J.
Progress in speech processing has been facilitated by shared datasets and benchmarks. Historically these have focused on automatic speech recognition (ASR), speaker identification, or other lower-level tasks. Interest has been growing in higher-level
Externí odkaz:
http://arxiv.org/abs/2111.10367
In this paper, we explore the use of pre-trained language models to learn sentiment information of written texts for speech sentiment analysis. First, we investigate how useful a pre-trained language model would be in a 2-step pipeline approach emplo
Externí odkaz:
http://arxiv.org/abs/2106.06598
In this work, we present a framework for incorporating descriptive logical rules in state-of-the-art neural networks, enabling them to learn how to handle unseen labels without the introduction of any new training data. The rules are integrated into
Externí odkaz:
http://arxiv.org/abs/2009.13275
Publikováno v:
In Speech Communication December 2020 125:24-40
Akademický článek
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Autor:
Shon, Suwon, Pasad, Ankita, Wu, Felix, Brusco, Pablo, Artzi, Yoav, Livescu, Karen, Han, Kyu J.
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Progress in speech processing has been facilitated by shared datasets and benchmarks. Historically these have focused on automatic speech recognition (ASR), speaker identification, or other lower-level tasks. Interest has been growing in higher-level
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6f94e6716d9d1c59c09a67d9d4e9da0
https://doi.org/10.1109/icassp43922.2022.9746137
https://doi.org/10.1109/icassp43922.2022.9746137
Autor:
Brusco, Pablo
Publikováno v:
Biblioteca Digital (UBA-FCEN)
Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
instacron:UBA-FCEN
Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
instacron:UBA-FCEN
Cuando conversamos, los hablantes producimos una serie de indicios acústico-prosódicos, sintácticos e incluso gestuales que de manera combinada contribuyen al flujo y la naturalidad del manejo de turnos en las conversaciones. Por ejemplo, sabemos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::abbfc320915fae89798f91e727147028