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Nov 7, 2018 · Abstract:When translating from speech, special consideration for conversational speech phenomena such as disfluencies is necessary.
Abstract. When translating speech, special consideration for conver- sational speech phenomena such as disfluencies is neces- sary. Most machine translation ...
We use a sequence-to-sequence model to translate from noisy, disfluent speech to fluent text with disfluencies removed using the recently collected 'copy-edited ...
We use the Fisher Spanish-English dataset, composed of telephone conversations between mostly native Spanish speakers. The corpus.
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Jun 3, 2019 · We use a sequence-to-sequence model to translate from noisy, disfluent speech to fluent text with disfluencies removed using the recently ...
This work uses a sequence-to-sequence model to translate from noisy, disfluent speech to fluent text with disfluencies removed using the recently collected ...
Automatic speech recognition (ASR) systems usually transcribe such disfluencies as they are, which degrades the human readability of transcripts.
To generate clean translations from disfluent speech, cleaned references are necessary for evaluation. We introduce a corpus of cleaned target data for the ...
To generate clean translations from disfluent speech, cleaned references are necessary for evaluation. We introduce a corpus of cleaned target data for the ...
Towards Fluent Translations from Disfluent Speech ; Publikationsjahr, 2019 ; Sprache, Englisch ; Identifikator, ISBN: 978-1-5386-4334-1 KITopen-ID: 1000094354.