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pro vyhledávání: '"Sarfjoo, Saeed"'
Autor:
Prasad, Amrutha, Zuluaga-Gomez, Juan, Motlicek, Petr, Sarfjoo, Saeed, Nigmatulina, Iuliia, Vesely, Karel
This paper describes a simple yet efficient repetition-based modular system for speeding up air-traffic controllers (ATCos) training. E.g., a human pilot is still required in EUROCONTROL's ESCAPE lite simulator (see https://www.eurocontrol.int/simula
Externí odkaz:
http://arxiv.org/abs/2212.07164
Autor:
Zuluaga-Gomez, Juan, Prasad, Amrutha, Nigmatulina, Iuliia, Sarfjoo, Saeed, Motlicek, Petr, Kleinert, Matthias, Helmke, Hartmut, Ohneiser, Oliver, Zhan, Qingran
Recent work on self-supervised pre-training focus on leveraging large-scale unlabeled speech data to build robust end-to-end (E2E) acoustic models (AM) that can be later fine-tuned on downstream tasks e.g., automatic speech recognition (ASR). Yet, fe
Externí odkaz:
http://arxiv.org/abs/2203.16822
Autor:
Prasad, Amrutha, Zuluaga-Gomez, Juan, Motlicek, Petr, Sarfjoo, Saeed, Nigmatulina, Iuliia, Ohneiser, Oliver, Helmke, Hartmut
Automatic Speech Recognition (ASR) for air traffic control is generally trained by pooling Air Traffic Controller (ATCO) and pilot data into one set. This is motivated by the fact that pilot's voice communications are more scarce than ATCOs. Due to t
Externí odkaz:
http://arxiv.org/abs/2108.12175
Akademický článek
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Autor:
Zuluaga-Gomez, Juan Pablo, Sarfjoo, Saeed Seyyed, Prasad, Amrutha, Nigmatulina, Iuliia, Motlicek, Petr, Ondřej, Karel, Ohneiser, Oliver, Helmke, Hartmut
Automatic speech recognition (ASR) allows transcribing the communications between air traffic controllers (ATCOs) and aircraft pilots. The transcriptions are used later to extract ATC named entities, e.g., aircraft callsigns. One common challenge is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a98085852710a1ea27f7273f1816639
https://infoscience.epfl.ch/record/302545
https://infoscience.epfl.ch/record/302545