Zobrazeno 1 - 10
of 625
pro vyhledávání: '"speech signals"'
Autor:
Marco Olivieri, Xenofon Karakonstantis, Mirco Pezzoli, Fabio Antonacci, Augusto Sarti, Efren Fernandez-Grande
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-14 (2024)
Abstract Recent developments in acoustic signal processing have seen the integration of deep learning methodologies, alongside the continued prominence of classical wave expansion-based approaches, particularly in sound field reconstruction. Physics-
Externí odkaz:
https://doaj.org/article/6005aa4b95014b97842bd29c0d30c324
Autor:
Yue Pan, Andia Foroughi
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-12 (2024)
Abstract Physical, social, and routine environments can be challenging for learners with autism spectrum disorder (ASD). ASD is a developmental disorder caused by neurological problems. In schools and educational environments, this disorder may not o
Externí odkaz:
https://doaj.org/article/b565f2e21b7b40a0b727a35f8f218e8b
Autor:
Anitha Sankaran, Lakshmi Sutha Kumar
Publikováno v:
IEEE Access, Vol 12, Pp 181127-181148 (2024)
Speech has been the principal means of communication among humans for centuries. It arises when the voice tone produced by the vocal cords is modulated by articulators giving rise to meaningful content. Voice pathologies are disorders affecting the v
Externí odkaz:
https://doaj.org/article/62b41f4a7d89499dba6851410432cd3c
Autor:
Muhammad Abubakar, Muhammad Mujahid, Khadija Kanwal, Sajid Iqbal, Muhammad Nabeel Asghar, Abdullah Alaulamie
Publikováno v:
IEEE Access, Vol 12, Pp 99308-99320 (2024)
Stuttering is a speech disorder characterised by the repetition, prolongation, or blocking of sounds, syllables, or words, which can cause significant social and emotional difficulties for those who experience it. To help find and diagnose stuttering
Externí odkaz:
https://doaj.org/article/e9314d90f264470193ebfa30fc14d6bf
Autor:
Oleksandr Lavrynenko, Denys Bakhtiiarov, Vitalii Kurushkin, Serhii Zavhorodnii, Veniamin Antonov, Petro Stanko
Publikováno v:
Радіоелектронні і комп'ютерні системи, Vol 0, Iss 3, Pp 101-124 (2023)
The subject of this study is methods for improving the efficiency of semantic coding of speech signals. The purpose of this study is to develop a method for improving the efficiency of semantic coding of speech signals. Coding efficiency refers to th
Externí odkaz:
https://doaj.org/article/84a53e5396a8483984cb448aeaef98ad
Autor:
D. A. Zaslavnov, G. G. Matveeva
Publikováno v:
Дискурс профессиональной коммуникации, Vol 5, Iss 3, Pp 126-142 (2023)
The aim of this paper is to present a comprehensive methodology for conducting both traditional and modified content analysis using transcripts of spoken language from video bloggers as source material. The specific focus of this research centers aro
Externí odkaz:
https://doaj.org/article/1e2d63e06d3c4f9bb9444d23e9a752b7
Publikováno v:
Mathematics, Vol 12, Iss 10, p 1575 (2024)
The detection of Parkinson’s disease (PD) is vital as it affects the population worldwide and decreases the quality of life. The disability and death rate due to PD is increasing at an unprecedented rate, more than any other neurological disorder.
Externí odkaz:
https://doaj.org/article/a322c3924bd14c9a93abb963ce13c947
Autor:
Valeriy V. Kozlov, Aleksey A. Trofimov, Ekaterina A. Fokina, Vladislav N. Ponomarev, Timofey O. Zhukov
Publikováno v:
Измерение, мониторинг, управление, контроль, Iss 4 (2024)
Background. Automatic speech recognition technology faces a lot of difficulties. The complex structure of human speech combined with various noise effects makes this task very time-consuming. To simplify this task, preprocessing of speech signals is
Externí odkaz:
https://doaj.org/article/64c62ff58f7d415291597c90ab127cd7
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