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Hits 1 – 20 of 57
1
Findings of the IWSLT 2020 Evaluation campaign
Niehues, Jan
;
Federico, Marcello
;
Ma, Xutai
. - : Association for Computational Linguistics, 2022
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2
KIT Lecture Translator: Multilingual Speech Translation with One-Shot Learning
Nguyen, Thai-Son
;
Zenkel, Thomas
;
Waibel, Alex
. - : Association for Computational Linguistics, 2022
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3
Lecture Translator Speech translation framework for simultaneous lecture translation
Waibel, Alex
;
Nguyen, Thai-Son
;
Cho, Eunah
. - : Association for Computational Linguistics, 2022
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4
Open Source Toolkit for Speech to Text Translation
Zenkel, Thomas
;
Sperber, Matthias
;
Niehues, Jan
...
In: The Prague Bulletin of Mathematical Linguistics, 111 (1), 125–135 ; ISSN: 0032-6585, 1804-0462 (2022)
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5
Lightly Supervised Quality Estimation
Waibel, Alex
;
Niehues, Jan
;
Stüker, Sebastian
. - : Association for Computational Linguistics, 2022
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6
ELITR Multilingual Live Subtitling: Demo and Strategy ...
Bojar, Ondřej
;
Macháček, Dominik
;
Sagar, Sangeet
. - : ACL Anthology, 2021
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7
Efficient Weight factorization for Multilingual Speech Recognition ...
Pham, Ngoc-Quan
;
Nguyen, Tuan-Nam
;
Stueker, Sebastian
. - : arXiv, 2021
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8
Efficientweight factorization for multilingual speech recognition
Pham, Ngoc-Quan
;
Nguyen, Tuan-Nam
;
Stueker, Sebastian
. - : Curran Associates, Inc., 2021
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9
Findings of the IWSLT 2020 Evaluation campaign ...
Ansari, Ebrahim
;
Axelrod, Amittai
;
Bach, Nguyen
. - : Association for Computational Linguistics, 2020
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10
Super-Human Performance in Online Low-latency Recognition of Conversational Speech ...
Nguyen, Thai-Son
;
Stueker, Sebastian
;
Waibel, Alex
. - : arXiv, 2020
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11
Neural Language Codes for Multilingual Acoustic Models ...
Müller, Markus
;
Stüker, Sebastian
;
Waibel, Alex
. - : arXiv, 2018
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12
Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop ...
Scharenborg, Odette
;
Besacier, Laurent
;
Black, Alan
. - : arXiv, 2018
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13
19: Grundlagen der Automatischen Spracherkennung, Vorlesung, WS 2017/18, 24.01.2018
Stüker, Sebastian
;
KIT
. - 2018
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14
Open Source Toolkit for Speech to Text Translation
Zenkel Thomas
;
Sperber Matthias
;
Niehues Jan
...
In: Prague Bulletin of Mathematical Linguistics , Vol 111, Iss 1, Pp 125-135 (2018) (2018)
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15
Multilingual Adaptation of RNN Based ASR Systems ...
Müller, Markus
;
Stüker, Sebastian
;
Waibel, Alex
. - : arXiv, 2017
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16
Phonemic and Graphemic Multilingual CTC Based Speech Recognition ...
Müller, Markus
;
Stüker, Sebastian
;
Waibel, Alex
. - : arXiv, 2017
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17
Comparison of Decoding Strategies for CTC Acoustic Models ...
Zenkel, Thomas
;
Sanabria, Ramon
;
Metze, Florian
;
Niehues, Jan
;
Sperber, Matthias
;
Stüker, Sebastian
;
Waibel, Alex
. - : arXiv, 2017
Abstract:
Connectionist Temporal Classification has recently attracted a lot of interest as it offers an elegant approach to building acoustic models (AMs) for speech recognition. The CTC loss function maps an input sequence of observable feature vectors to an output sequence of symbols. Output symbols are conditionally independent of each other under CTC loss, so a language model (LM) can be incorporated conveniently during decoding, retaining the traditional separation of acoustic and linguistic components in ASR. For fixed vocabularies, Weighted Finite State Transducers provide a strong baseline for efficient integration of CTC AMs with n-gram LMs. Character-based neural LMs provide a straight forward solution for open vocabulary speech recognition and all-neural models, and can be decoded with beam search. Finally, sequence-to-sequence models can be used to translate a sequence of individual sounds into a word string. We compare the performance of these three approaches, and analyze their error patterns, which ... : 5 pages. To appear in Interspeech 2017 ...
Keyword:
Computation and Language cs.CL
;
FOS Computer and information sciences
URL:
https://arxiv.org/abs/1708.04469
https://dx.doi.org/10.48550/arxiv.1708.04469
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18
13: Grundbegriffe der Informatik, Vorlesung, WS 2017/18, 01.12.2017
Stüker, Sebastian
;
KIT
. - 2017
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19
Grundlagen der Automatischen Spracherkennung, Vorlesung, WS 2016/17, 18.01.2017, 18
Stüker, Sebastian
;
KIT
. - 2017
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20
03: Grundlagen der Automatischen Spracherkennung, Vorlesung, WS 2017/18, 30.10.2017
Stüker, Sebastian
;
KIT
. - 2017
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