Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Abraham Woubie"'
Publikováno v:
IEEE Access, Vol 12, Pp 170204-170226 (2024)
This review aims to evaluate and compare various static analysis tools across multiple programming languages for memory management. The tools and techniques under scrutiny include pattern matching, symbolic execution, CppCheck, SharpChecker, FindBugs
Externí odkaz:
https://doaj.org/article/1d2ed55f6a9d4ff090ace3a58baba704
Publikováno v:
IEEE Access, Vol 12, Pp 39603-39613 (2024)
The state-of-the-art face recognition systems are typically trained on a single computer, utilizing extensive image datasets collected from various users. Nevertheless, these datasets often contain sensitive personal information that users may hesita
Externí odkaz:
https://doaj.org/article/32bcc4794ef34566b5d496e83c325707
Autor:
Abraham Woubie, Tom Backstrom
Publikováno v:
IEEE Access, Vol 9, Pp 149477-149485 (2021)
The state-of-the-art speaker recognition systems are usually trained on a single computer using speech data collected from multiple users. However, these speech samples may contain private information which users may not be willing to share. To overc
Externí odkaz:
https://doaj.org/article/20568ae1fca8458dab50743444594d16
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2018, Iss 1, Pp 1-11 (2018)
Abstract Several factors contribute to the performance of speaker diarization systems. For instance, the appropriate selection of speech features is one of the key aspects that affect speaker diarization systems. The other factors include the techniq
Externí odkaz:
https://doaj.org/article/c92e7947f3334c829f061e768de98258
Publikováno v:
Electronics; Volume 11; Issue 23; Pages: 3909
Deep convolutional neural networks are often used for image verification but require large amounts of labeled training data, which are not always available. To address this problem, an unsupervised deep learning face verification system, called UFace
Jitter and shimmer are voice-quality features which have been successfully used to detect voice pathologies and classify different speaking styles. In this paper, we investigate the usefulness of such voice-quality features in neural-network based sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d330dd5a63df7f0abae5c94bb182b0b0
https://aaltodoc.aalto.fi/handle/123456789/119647
https://aaltodoc.aalto.fi/handle/123456789/119647
Autor:
Tom Bäckström, Abraham Woubie
State-of-the-art speaker recognition systems are usually trained on a single computer using speech data collected from multiple users. However, these speech samples may contain private information which users are not willing to share. To overcome suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20c18fd6839cfc826d5d2452755af16c
https://aaltodoc.aalto.fi/handle/123456789/111229
https://aaltodoc.aalto.fi/handle/123456789/111229
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2018, Iss 1, Pp 1-11 (2018)
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Several factors contribute to the performance of speaker diarization systems. For instance, the appropriate selection of speech features is one of the key aspects that affect speaker diarization systems. The other factors include the techniques emplo
Autor:
Zewoudie, Abraham Woubie
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
TDX (Tesis Doctorals en Xarxa)
TDR. Tesis Doctorales en Red
instname
Universitat Politècnica de Catalunya (UPC)
TDX (Tesis Doctorals en Xarxa)
TDR. Tesis Doctorales en Red
instname
Speaker diarization has received several research attentions over the last decade. Among the different domains of speaker diarization, diarization in meeting domain is the most challenging one. It usually contains spontaneous speech and is, for examp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::275796422993d58083ea24851809f965
http://hdl.handle.net/2117/113673
http://hdl.handle.net/2117/113673
Publikováno v:
Odyssey 2016
Odyssey
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Odyssey
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
i-vectors have been successfully applied over the last years in speaker recognition tasks. This work aims at assessing the suitability of i-vector modeling within the frame of speaker diarization task. In such context, a weighted cosine-distance betw