Zobrazeno 1 - 10
of 2 046
pro vyhledávání: '"Adal A"'
Autor:
Aynalem ZB, Abate MD, Meseret F, Muhamed AN, Abebe GK, Adal AB, Wondmieneh A, Andualem A, Ademe S, Workye H, Bewket B, Beyene GA, Alene T, Tsega TD
Publikováno v:
Journal of Multidisciplinary Healthcare, Vol Volume 17, Pp 1159-1173 (2024)
Zewdu Bishaw Aynalem,1 Melsew Dagne Abate,1 Fentahun Meseret,2 Ahmed Nuru Muhamed,3 Gebremeskel Kibret Abebe,4 Abebaw Bires Adal,1 Adam Wondmieneh,1 Atsedemariam Andualem,1 Sewunet Ademe,1 Haile Workye,1 Bekalu Bewket,1 Getachew Amare Beyene,5 Tamiru
Externí odkaz:
https://doaj.org/article/7fe6bca2a5d549c59b4d51b537969445
Publikováno v:
IEEE Access, Vol 11, Pp 67835-67849 (2023)
The StarGANv2-VC model is a many-to-many non-parallel generative adversarial network (GAN) voice conversion (VC) model that has proven effective in style conversion tasks. This study aimed to investigate the scalability and diversity of the model for
Externí odkaz:
https://doaj.org/article/749607ca5dde4de79870fb5733052264
Autor:
Adal A. Alashban, Yousef A. Alotaibi
Publikováno v:
IEEE Access, Vol 11, Pp 11613-11628 (2023)
Spoken Language Identification (SLID) is an important step in speech-to-speech translation systems and multi-lingual automatic speech recognition. In recent research, deep learning mechanisms have been the prevailing approaches for spoken language id
Externí odkaz:
https://doaj.org/article/de83866ff64e43ec9f5ab467676a599e
Publikováno v:
Research Reports in Clinical Cardiology, Vol Volume 13, Pp 73-84 (2022)
Abebaw Bires Adal,1 Getahun Fetensa,2 Tekalign Markos Chamiso,3 Chalachew Teshome Tiruneh,4 Melkamu Getaneh Jebesa,5 Zebenay Workneh Bitew6 1College of medicine and health science, department of nursing, Injibara University, Injebara, Ethiopia; 2Depa
Externí odkaz:
https://doaj.org/article/47a41d3b81624d5ca72f7d9755d0ca1f
Publikováno v:
Applied Sciences, Vol 13, Iss 17, p 9567 (2023)
The rapid momentum of deep neural networks (DNNs) in recent years has yielded state-of-the-art performance in various machine-learning tasks using speaker identification systems. Speaker identification is based on the speech signals and the features
Externí odkaz:
https://doaj.org/article/4c7fc8c506924ccb8c2d7601b528ef0d
Publikováno v:
IEEE Access, Vol 10, Pp 63823-63833 (2022)
Crowd density estimation is an important topic in computer vision due to its widespread applications in surveillance, urban planning, and intelligence gathering. Resulting from extensive analysis, crowd density estimation reflects many aspects such a
Externí odkaz:
https://doaj.org/article/f745d2fec0cb4eaba27e60b8bc5b5efc
Publikováno v:
Alexandria Engineering Journal, Vol 60, Iss 6, Pp 4995-5008 (2021)
This research discusses the merged effect on the peristaltic mechanism of hyperbolic tangent fluid in a curved channel of the wall properties and heat/mass transference. The mathematical model is examined by considering small number of Reynolds and l
Externí odkaz:
https://doaj.org/article/8886a0536b184a1fb3f34e02b540d63d
Publikováno v:
Applied Sciences, Vol 12, Iss 18, p 9181 (2022)
Following recent advancements in deep learning and artificial intelligence, spoken language identification applications are playing an increasingly significant role in our day-to-day lives, especially in the domain of multi-lingual speech recognition
Externí odkaz:
https://doaj.org/article/24974f40d8f447bb8e5e1bc8c6ca6392
This study focuses on the creation of the KazEmoTTS dataset, designed for emotional Kazakh text-to-speech (TTS) applications. KazEmoTTS is a collection of 54,760 audio-text pairs, with a total duration of 74.85 hours, featuring 34.23 hours delivered
Externí odkaz:
http://arxiv.org/abs/2404.01033
Autor:
ADAL, Samiye1 smy.akn@gmail.com, SAVLAK, Nazlı2
Publikováno v:
Journal of the Institute of Science & Technology / Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi. Sep2024, Vol. 14 Issue 3, p1144-1163. 20p.