Zobrazeno 1 - 10
of 3 947
pro vyhledávání: '"Oguz, H"'
Autor:
Cambier, Léopold, Bhiwandiwalla, Anahita, Gong, Ting, Nekuii, Mehran, Elibol, Oguz H, Tang, Hanlin
Training with larger number of parameters while keeping fast iterations is an increasingly adopted strategy and trend for developing better performing Deep Neural Network (DNN) models. This necessitates increased memory footprint and computational re
Externí odkaz:
http://arxiv.org/abs/2001.05674
Autor:
Khatoon A; Department of Pathology, Faculty of Veterinary Science, University of Agriculture, Faisalabad, 38040, Pakistan. aisha.khatoon@uaf.edu.pk., Khan MZ; Department of Pathology, Faculty of Veterinary Science, University of Agriculture, Faisalabad, 38040, Pakistan., Abidin ZU; Veterinary Research Institute, Zarrar Shaheed Road, Lahore Cantt-13, Pakistan., Saleemi MK; Department of Pathology, Faculty of Veterinary Science, University of Agriculture, Faisalabad, 38040, Pakistan., Oguz H; Department of Pharmacology and Toxicology, Faculty of Veterinary Medicine, Selcuk University, Konya, 42075, Turkey., Gul ST; Department of Pathology, Faculty of Veterinary Science, University of Agriculture, Faisalabad, 38040, Pakistan., Abbas RZ; Department of Parasitology, Faculty of Veterinary Science, University of Agriculture, Faisalabad, 38040, Pakistan., Ali A; Department of Histology and Embryology, Shantou Medical University, Shantou, 515041, China., Bhatti SA; Faculty of Veterinary Sciences, Bahauddin Zakariya University, Multan, Pakistan.
Publikováno v:
Mycotoxin research [Mycotoxin Res] 2024 Nov; Vol. 40 (4), pp. 615-629. Date of Electronic Publication: 2024 Jul 29.
Publikováno v:
Proc. Interspeech 2019 (2019): 729-733
In this work we introduce a semi-supervised approach to the voice conversion problem, in which speech from a source speaker is converted into speech of a target speaker. The proposed method makes use of both parallel and non-parallel utterances from
Externí odkaz:
http://arxiv.org/abs/1910.00067
This paper evaluates the effectiveness of a Cycle-GAN based voice converter (VC) on four speaker identification (SID) systems and an automated speech recognition (ASR) system for various purposes. Audio samples converted by the VC model are classifie
Externí odkaz:
http://arxiv.org/abs/1905.12531
Publikováno v:
ICASSP 2019
We present a rapid design methodology that combines automated hyper-parameter tuning with semi-supervised training to build highly accurate and robust models for voice commands classification. Proposed approach allows quick evaluation of network arch
Externí odkaz:
http://arxiv.org/abs/1905.04230
Autor:
Ocal, Orhan, Elibol, Oguz H., Keskin, Gokce, Stephenson, Cory, Thomas, Anil, Ramchandran, Kannan
We present a method for converting the voices between a set of speakers. Our method is based on training multiple autoencoder paths, where there is a single speaker-independent encoder and multiple speaker-dependent decoders. The autoencoders are tra
Externí odkaz:
http://arxiv.org/abs/1905.03864
We present a Cycle-GAN based many-to-many voice conversion method that can convert between speakers that are not in the training set. This property is enabled through speaker embeddings generated by a neural network that is jointly trained with the C
Externí odkaz:
http://arxiv.org/abs/1905.02525
Autor:
Yilmaz OF; Department of Ophthalmology, Goztepe Prof. Dr. Süleyman Yalçin City Hospital, Istanbul, Turkey., Toptan M; Department of Ophthalmology, Faculty of Medicine, Harran University, Sanlıurfa, Turkey., Durmus E; Department of Ophthalmology, Medeniyet University Göztepe Training and Research Hospital, Istanbul, Turkey., Karaca S; Department of Ophthalmology, Goztepe Prof. Dr. Süleyman Yalçin City Hospital, Istanbul, Turkey., Oguz H; Department of Ophthalmology, Medeniyet University Göztepe Training and Research Hospital, Istanbul, Turkey.
Publikováno v:
Cornea [Cornea] 2024 Oct 01; Vol. 43 (10), pp. e30-e31. Date of Electronic Publication: 2024 Jul 19.
Autor:
Köster, Urs, Webb, Tristan J., Wang, Xin, Nassar, Marcel, Bansal, Arjun K., Constable, William H., Elibol, Oğuz H., Gray, Scott, Hall, Stewart, Hornof, Luke, Khosrowshahi, Amir, Kloss, Carey, Pai, Ruby J., Rao, Naveen
Deep neural networks are commonly developed and trained in 32-bit floating point format. Significant gains in performance and energy efficiency could be realized by training and inference in numerical formats optimized for deep learning. Despite adva
Externí odkaz:
http://arxiv.org/abs/1711.02213
Publikováno v:
Communications Earth & Environment, Vol 3, Iss 1, Pp 1-12 (2022)
Several central Andean basins may have formed from the coupling of crustal deformation to dripping of the upper mantle lithosphere, according to three- dimensional scaled analogue experiments
Externí odkaz:
https://doaj.org/article/fc5c9a1c875d4730bbbe06cae87e3ca4