Results 11 to 20 of about 7,097,775 (327)

Direct Speech-to-Speech Translation with a Sequence-to-Sequence Model [PDF]

open access: yesInterspeech 2019, 2019
Accepted to Interspeech ...
Ye Jia   +6 more
openaire   +4 more sources

Direct Speech to Speech Translation: A Review

open access: yesCoRR
Speech to speech translation (S2ST) is a transformative technology that bridges global communication gaps, enabling real time multilingual interactions in diplomacy, tourism, and international trade. Our review examines the evolution of S2ST, comparing traditional cascade models which rely on automatic speech recognition (ASR), machine translation (MT),
Mohammad Sarim   +4 more
openaire   +3 more sources

Direct Speech Translation for Automatic Subtitling [PDF]

open access: yesTransactions of the Association for Computational Linguistics, 2023
Abstract Automatic subtitling is the task of automatically translating the speech of audiovisual content into short pieces of timed text, i.e., subtitles and their corresponding timestamps. The generated subtitles need to conform to space and time requirements, while being synchronized with the speech and segmented in a way that ...
Sara Papi   +5 more
openaire   +7 more sources

On the Locality of Attention in Direct Speech Translation [PDF]

open access: yesProceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2022
ACL-SRW 2022.
Alastruey Lasheras, Belén   +3 more
openaire   +4 more sources

On Knowledge Distillation for Direct Speech Translation [PDF]

open access: yesCLICIT, 2020
Direct speech translation (ST) has shown to be a complex task requiring knowledge transfer from its sub-tasks: automatic speech recognition (ASR) and machine translation (MT). For MT, one of the most promising techniques to transfer knowledge is knowledge distillation. In this paper, we compare the different solutions to distill knowledge in a sequence-
Gaido M.   +3 more
openaire   +7 more sources

Direct speech reconstruction from sensorimotor brain activity with optimized deep learning models. [PDF]

open access: yesJ Neural Eng, 2023
Objective. Development of brain–computer interface (BCI) technology is key for enabling communication in individuals who have lost the faculty of speech due to severe motor paralysis.
Berezutskaya J   +5 more
europepmc   +2 more sources

Students’ Ability at Changing Direct into Indirect Speech and Indirect into Direct Speech [PDF]

open access: yesBudapest International Research and Critics Institute (BIRCI-Journal) : Humanities and Social Sciences, 2019
Reported speech is one of difficult topics in learning English grammar, especially in changing the form from direct into indirect or reverse. Descriptive quantitative was used to find out the students’ ability in changing direct into indirect speech and reverse. There were five sentences that were changed by the students for two kinds of test.
Muhammad Dalimunte, Maryati Salmiah
openaire   +2 more sources

Neurolinguistics Research Advancing Development of a Direct-Speech Brain-Computer Interface. [PDF]

open access: yesiScience, 2018
A direct-speech brain-computer interface (DS-BCI) acquires neural signals corresponding to imagined speech, then processes and decodes these signals to produce a linguistic output in the form of phonemes, words, or sentences.
Cooney C, Folli R, Coyle D.
europepmc   +2 more sources

Recent Advances in Direct Speech-to-text Translation [PDF]

open access: yesInternational Joint Conference on Artificial Intelligence, 2023
Recently, speech-to-text translation has attracted more and more attention and many studies have emerged rapidly. In this paper, we present a comprehensive survey on direct speech translation aiming to summarize the current state-of-the-art techniques ...
Chen Xu   +7 more
semanticscholar   +1 more source

UnitY: Two-pass Direct Speech-to-speech Translation with Discrete Units [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2022
Direct speech-to-speech translation (S2ST), in which all components can be optimized jointly, is advantageous over cascaded approaches to achieve fast inference with a simplified pipeline.
H. Inaguma   +9 more
semanticscholar   +1 more source

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