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Personal data sheet
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personal data approved: 2023. V. 29.
Personal data
Mohammed Salah Al-Radhi
name Mohammed Salah Al-Radhi
name of institution
doctoral school
BME Doctoral School of Informatics (Announcer of research topic)
the share of work in the different doctoral schools. BME Doctoral School of Informatics 100%
accreditation statement submitted to: Budapest University of Technology and Economics
Contact details
E-mail address mohammed.alradhivik.bme.hu
phone number +36 70 223-8641
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 2020
discipline to which degree belongs computer sciences
institution granting the degree Budapest University of Technology and Economics
Employment
2020 - Budapest University of Technology and Economics
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now 0.5
number of students who fulfilled course requirements 0
students who obtained their degrees:
  Thesis topic proposals
Research
research area Signal processing, machine and deep learning, neural vocoders, end-to-end speech synthesis, voice conversion, conversational AI, and human-computer dialogue systems
research field in which current research is conducted computer sciences
electrical engineering
Publications
2022

 Al-Radhi M.S., Csapó T.G., Zainkó C., Németh G.: Towards Parametric Speech Synthesis Using Gaussian-Markov Model of Spectral Envelope and Wavelet-Based Decomposition of F0, In: IEEE (szerk.) 2022 30th European Signal Processing Conference (EUSIPCO), European Association for Signal Processing (EURASIP) (2022) pp. 1150-1154.
type of document: Part of book/Proceedings Paper
language: English
URL 
2021

 Al-Radhi Mohammed Salah, Csapó Tamás Gábor, Zainkó Csaba, Németh Géza: Continuous Wavelet Vocoder-Based Decomposition of Parametric Speech Waveform Synthesis, INTERSPEECH 2021: pp. 2212-2216.
type of document: Journal paper/Konferenciaközlemény
number of independent citations: 2
language: English
URL 
2020

 Al-Radhi Mohammed Salah, Abdo Omnia, Csapó Tamás Gábor, Abdou Sherif, Németh Géza, Fashal Mervat: A continuous vocoder for statistical parametric speech synthesis and its evaluation using an audio-visual phonetically annotated Arabic corpus, COMPUTER SPEECH AND LANGUAGE 60: 101025
type of document: Journal paper/Article
number of independent citations: 2
language: English
URL 
2020

 AL-RADHI Mohammed Salah, CSAPÓ Tamás Gábor, NÉMETH Géza: Continuous Noise Masking Based Vocoder for Statistical Parametric Speech Synthesis, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS E103.D: (5) pp. 1099-1107.
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL 
2019

 Al-Radhi Mohammed Salah, Csapó Tamás Gábor, Németh Géza: Continuous vocoder applied in deep neural network based voice conversion, MULTIMEDIA TOOLS AND APPLICATIONS: AN INTERNATIONAL JOURNAL 78: (23) pp. 33549-33572.
type of document: Journal paper/Article
language: English
URL 
2019

 Csapó Tamás Gábor, Al-Radhi Mohammed Salah, Németh Géza, Gosztolya Gábor, Grósz Tamás, Tóth László, Markó Alexandra: Ultrasound-Based Silent Speech Interface Built on a Continuous Vocoder, In: Kubin, Gernot; Kačič, Zdravko (szerk.) The 20th Annual Conference of the International Speech Communication Association (Interspeech 2019), International Speech Communication Association (ISCA) (2019) pp. 894-898.
type of document: Part of book/Proceedings Paper
number of independent citations: 5
language: English
URL 
2019

 Al-Radhi Mohammed Salah, Csapó Tamás Gábor, Németh Géza: RNN-based speech synthesis using a continuous sinusoidal model, In: Institute of Electrical Electronics Engineers (szerk.) 2019 International Joint Conference on Neural Networks (IJCNN), IEEE (2019) 8852253
type of document: Part of book/Proceedings Paper
number of independent citations: 2
language: English
URL 
2019

 Hameed Waleed I., Sawadi Baha A., Al-Kamil Safa J., Al-Radhi Mohammed S., Al-Yasir Yasir I. A., Saleh Ameer L., Abd-Alhameed Raed A.: Prediction of Solar Irradiance Based on Artificial Neural Networks, INVENTIONS 4: (3) p. 45.
type of document: Journal paper/Article
number of independent citations: 9
language: English
URL 
2017

 Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh: Deep recurrent neural networks in speech synthesis using a continuous vocoder, LECTURE NOTES IN COMPUTER SCIENCE 10458: pp. 282-291.
type of document: Journal paper/Article
number of independent citations: 4
language: English
URL 
2017

 Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh: Time-domain envelope modulating the noise component of excitation in a continuous residual-based vocoder for statistical parametric speech synthesis, In: Francisco, Lacerda (szerk.) 18th Annual Conference of the International Speech Communication Association, International Speech Communication Association (ISCA) (2017) pp. 434-438.
type of document: Part of book/Proceedings Paper
number of independent citations: 2
language: English
URL 
Number of independent citations to these publications:27 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
36
number of scientific publications:
36
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
1 
number of independent citations to scientific publications and creative works:
42
Supervision
thesis supervisor Tamás Gábor Csapó
one supervisor or with co-supervisor individual
degree PhD
starting of doctoral studies 2016/09
date of final certificate (year,month) 2020/08
year in which degree was obtained 2020
diszertáció Doi/handle link (thesis, statements)
data of the public discussion defense

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )