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pro vyhledávání: '"Suni, Antti"'
This paper investigates the use of word surprisal, a measure of the predictability of a word in a given context, as a feature to aid speech synthesis prosody. We explore how word surprisal extracted from large language models (LLMs) correlates with w
Externí odkaz:
http://arxiv.org/abs/2306.09814
Parliamentary recordings provide a rich source of data for studying how politicians use speech to convey their messages and influence their audience. This provides a unique context for studying how politicians use speech, especially prosody, to achie
Externí odkaz:
http://arxiv.org/abs/2305.16040
Recent advances in deep learning methods have elevated synthetic speech quality to human level, and the field is now moving towards addressing prosodic variation in synthetic speech.Despite successes in this effort, the state-of-the-art systems fall
Externí odkaz:
http://arxiv.org/abs/2006.15967
Autor:
Talman, Aarne, Suni, Antti, Celikkanat, Hande, Kakouros, Sofoklis, Tiedemann, Jörg, Vainio, Martti
In this paper we introduce a new natural language processing dataset and benchmark for predicting prosodic prominence from written text. To our knowledge this will be the largest publicly available dataset with prosodic labels. We describe the datase
Externí odkaz:
http://arxiv.org/abs/1908.02262
Autor:
Anurova, Irina, Vetchinnikova, Svetlana, Dobrego, Aleksandra, Williams, Nitin, Mikusova, Nina, Suni, Antti, Mauranen, Anna, Palva, Satu
Publikováno v:
In NeuroImage 15 July 2022 255
Prominences and boundaries are the essential constituents of prosodic structure in speech. They provide for means to chunk the speech stream into linguistically relevant units by providing them with relative saliences and demarcating them within cohe
Externí odkaz:
http://arxiv.org/abs/1510.01949
Publikováno v:
In Journal of Phonetics May 2020 80
Publikováno v:
In Computer Speech & Language September 2017 45:123-136
Publikováno v:
In Speech Communication July 2016 81:104-119
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