Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Yasser Hifny"'
Publikováno v:
Sensors, Vol 21, Iss 8, p 2720 (2021)
The paper proposes three modeling techniques to improve the performance evaluation of the call center agent. The first technique is speech processing supported by an attention layer for the agent’s recorded calls. The speech comprises 65 features f
Externí odkaz:
https://doaj.org/article/e517f307d93f46008c8178c8ab72f6c9
Publikováno v:
Sensors, Vol 20, Iss 20, p 5875 (2020)
Many companies have transformed their telephone systems into Voice over IP (VoIP) systems. Although implementation is simple, VoIP is vulnerable to different types of attacks. The Session Initiation Protocol (SIP) is a widely used protocol for handli
Externí odkaz:
https://doaj.org/article/8f5ea1cf9e4c4484a80c805f9502433b
Autor:
Waleed Nazih, Yasser Hifny
Publikováno v:
Computational intelligence and neuroscience. 2022
The Arabic syntactic diacritics restoration problem is often solved using long short-term memory (LSTM) networks. Handcrafted features are used to augment these LSTM networks or taggers to improve performance. A transformer-based machine learning tec
Publikováno v:
International Journal of Intelligent Computing and Information Sciences. 20:125-138
Voice over Internet Protocol (VoIP) is a recent technology used to transfer media and voice over Internet Protocol (IP). Many organizations moved to VoIP services instead of the traditional telephone systems because of its low cost and variety of int
Publikováno v:
Interspeech 2021.
Code-switching in automatic speech recognition (ASR) is an important challenge due to globalization. Recent research in multilingual ASR shows potential improvement over monolingual systems. We study key issues related to multilingual modeling for AS
Autor:
Yasser Hifny
Publikováno v:
IEEE Signal Processing Letters. 26:1421-1425
Diacritics restoration is a necessary component in order to develop Arabic text to speech systems. When diacritics are present, the phonetic transcription algorithm can be implemented based on a few rules. Restoring Arabic diacritics based on languag
Autor:
Yasser Hifny
Publikováno v:
ICASSP
Restoring Arabic syntactic diacritics based on Long Short-Term Memory (LSTM) networks leads to state-of-the-art performance. These LSTM networks are commonly augmented with Maximum Entropy (MaxEnt) sparse direct connections between the input and the
Publikováno v:
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 2720, p 2720 (2021)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Universidad de Sevilla (US)
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 2720, p 2720 (2021)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Article number 2720 The paper proposes three modeling techniques to improve the performance evaluation of the call center agent. The first technique is speech processing supported by an attention layer for the agent’s recorded calls. The speech com
Publikováno v:
2020 2nd International Conference on Artificial Intelligence, Robotics and Control.
Optical character recognition (OCR) systems are used to convert scanned documents into text. Arabic OCR is an active area of research where high accuracy is demanding. This paper focuses on building a model for converting images that contain Arabic t
Publikováno v:
Sensors, Vol 20, Iss 5875, p 5875 (2020)
Sensors
Volume 20
Issue 20
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 20
Sensors (Basel, Switzerland)
Many companies have transformed their telephone systems into Voice over IP (VoIP) systems. Although implementation is simple, VoIP is vulnerable to different types of attacks. The Session Initiation Protocol (SIP) is a widely used protocol for handli