Zobrazeno 1 - 10
of 498
pro vyhledávání: '"Sadjadi, Seyed"'
Autor:
Mahara, Arpan, Khan, Md Rezaul Karim, Rishe, Naphtali D., Wang, Wenjia, Sadjadi, Seyed Masoud
Road Extraction is a sub-domain of Remote Sensing applications; it is a subject of extensive and ongoing research. The procedure of automatically extracting roads from satellite imagery encounters significant challenges due to the multi-scale and div
Externí odkaz:
http://arxiv.org/abs/2410.14836
One fundamental task for NLP is to determine the similarity between two texts and evaluate the extent of their likeness. The previous methods for the Persian language have low accuracy and are unable to comprehend the structure and meaning of texts e
Externí odkaz:
http://arxiv.org/abs/2407.19173
This study introduces a methodology integrating Zero Trust Architecture (ZTA) principles and Transparent Shaping into an AWS-hosted Online File Manager (OFM) application, enhancing security without substantial code modifications. We evaluate our appr
Externí odkaz:
http://arxiv.org/abs/2405.01412
Despite its broad practical applications such as in fraud prevention, open-set speaker identification (OSI) has received less attention in the speaker recognition community compared to speaker verification (SV). OSI deals with determining if a test s
Externí odkaz:
http://arxiv.org/abs/2307.00169
Autor:
Safari, Lida1 (AUTHOR), Sadjadi, Seyed Jafar2 (AUTHOR) seyyedjafarsajjadi@yahoo.com, Sobhani, Farzad Movahedi1 (AUTHOR)
Publikováno v:
Environment, Development & Sustainability. Nov2024, Vol. 26 Issue 11, p27485-27527. 43p.
Publikováno v:
In Operations Research Perspectives December 2024 13
The 2021 Speaker Recognition Evaluation (SRE21) was the latest cycle of the ongoing evaluation series conducted by the U.S. National Institute of Standards and Technology (NIST) since 1996. It was the second large-scale multimodal speaker/person reco
Externí odkaz:
http://arxiv.org/abs/2204.10242
The US National Institute of Standards and Technology (NIST) has been conducting a second iteration of the CTS challenge since August 2020. The current iteration of the CTS Challenge is a leaderboard-style speaker recognition evaluation using telepho
Externí odkaz:
http://arxiv.org/abs/2204.10228
Automatic emotion recognition plays a key role in computer-human interaction as it has the potential to enrich the next-generation artificial intelligence with emotional intelligence. It finds applications in customer and/or representative behavior a
Externí odkaz:
http://arxiv.org/abs/2202.08974
Autor:
Sadjadi, Seyed Omid
This document provides a brief description of the National Institute of Standards and Technology (NIST) speaker recognition evaluation (SRE) conversational telephone speech (CTS) Superset. The CTS Superset has been created in an attempt to provide th
Externí odkaz:
http://arxiv.org/abs/2108.07118