Zobrazeno 1 - 10
of 119
pro vyhledávání: '"Speech modification"'
Akademický článek
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Autor:
Mykhailo Mozhaiev, Oleksandr Mozhaiev, Yurii Gnusov, Volodymyr Strukov, Petro Klimushin, Dmytro Yevstrat
Publikováno v:
Сучасний стан наукових досліджень та технологій в промисловості, Iss 1 (23) (2023)
Subject of the study: the process of acoustic information protection in computer systems of critical applications to ensure the required level of system security. The aim of the article is to analyze the methods of acoustic information protection in
Externí odkaz:
https://doaj.org/article/b3f58db6e7fd49d680642eccf3185912
Akademický článek
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Publikováno v:
Innovative Technologies and Scientific Solutions for Industries; No. 1 (23) (2023): INNOVATIVE TECHNOLOGIES AND SCIENTIFIC SOLUTIONS FOR INDUSTRIES; 96-107
Современное состояние научных исследований и технологий в промышленности; № 1 (23) (2023): СОВРЕМЕННОЕ СОСТОЯНИЕ НАУЧНЫХ ИССЛЕДОВАНИЙ И ТЕХНОЛОГИЙ В ПРОМЫШЛЕННОСТИ; 96-107
Сучасний стан наукових досліджень та технологій в промисловості; № 1 (23) (2023): СУЧАСНИЙ СТАН НАУКОВИХ ДОСЛІДЖЕНЬ ТА ТЕХНОЛОГІЙ В ПРОМИСЛОВОСТІ; 96-107
Современное состояние научных исследований и технологий в промышленности; № 1 (23) (2023): СОВРЕМЕННОЕ СОСТОЯНИЕ НАУЧНЫХ ИССЛЕДОВАНИЙ И ТЕХНОЛОГИЙ В ПРОМЫШЛЕННОСТИ; 96-107
Сучасний стан наукових досліджень та технологій в промисловості; № 1 (23) (2023): СУЧАСНИЙ СТАН НАУКОВИХ ДОСЛІДЖЕНЬ ТА ТЕХНОЛОГІЙ В ПРОМИСЛОВОСТІ; 96-107
Subject of the study: the process of acoustic information protection in computer systems of critical applications to ensure the required level of system security. The aim of the article is to analyze the methods of acoustic information protection in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=scientific_p::f2bdf126c2fe803c942e6c3f1ac2b362
http://journals.uran.ua/itssi/article/view/277309
http://journals.uran.ua/itssi/article/view/277309
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
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Autor:
Michael P. Boyle
Publikováno v:
International Journal of Speech-Language Pathology. 22:435-443
Purpose: This study examined whether people who stutter would associate biological and non-biological explanations of stuttering with the endorsement of stereotypes about people who stutter, prognostic expectations for the reduction of stuttering, fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71be13c2a24d16ae51e4a89d50cb8297
https://doi.org/10.1080/17549507.2019.1663931
https://doi.org/10.1080/17549507.2019.1663931
Articulatory Controllable Speech Modification Based on Statistical Inversion and Production Mappings
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 25(12):2337-2350
In this paper, we present an innovative way of utilizing the natural relationship between speech sounds and articulatory movements by developing an articulatory controllable speech modification system. Specifically, we employ statistical acoustic-to-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b7eac22c5697866dfe8a3d6b2f5915a
https://nagoya.repo.nii.ac.jp/records/25726
https://nagoya.repo.nii.ac.jp/records/25726
Publikováno v:
INTERSPEECH
Interspeech 2020-21st Annual Conference of the International Speech Communication Association
Interspeech 2020-21st Annual Conference of the International Speech Communication Association, Oct 2020, Shanghai (Virtual Conf), China. ⟨10.21437/interspeech.2020-2558⟩
Interspeech 2020-21st Annual Conference of the International Speech Communication Association
Interspeech 2020-21st Annual Conference of the International Speech Communication Association, Oct 2020, Shanghai (Virtual Conf), China. ⟨10.21437/interspeech.2020-2558⟩
International audience; We introduce a prototype system for modifying an arbitrary parameter of a speech signal. Unlike signal processing approaches that require dedicated methods for different parameters, our system can-in principle-modify any contr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::046accc6c4607df7fcfe3631769e109d
https://doi.org/10.21437/interspeech.2020-2558
https://doi.org/10.21437/interspeech.2020-2558
Publikováno v:
INTERSPEECH
The intelligibility of natural speech is seriously degraded when exposed to adverse noisy environments. In this work, we propose a deep learning-based speech modification method to compensate for the intelligibility loss, with the constraint that the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c9f625a6fd738e34bb40c8de087083a
https://doi.org/10.21437/interspeech.2020-1016
https://doi.org/10.21437/interspeech.2020-1016
Autor:
Yan Tang, Martin Cooke
Publikováno v:
Computer Speech & Language. 49:1-16
Near-end speech enhancement works by modifying speech prior to presentation in a noisy environment, typically operating under a constraint of limited or no increase in speech level. One issue is the extent to which near-end enhancement techniques req
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68b51049341843cf16c2f2953bb5d6fc
https://doi.org/10.1016/j.csl.2017.10.003
https://doi.org/10.1016/j.csl.2017.10.003