Biography

Dr. Al-Radhi is a Postdoctoral Fellow Scientist at BME-VIK-TMIT in Budapest, Hungary, actively contributing to the realization of impactful European projects like the ENFIELD, AI4Europe, and APH-ALARM projects. With a PhD in Artificial Intelligence of Speech from the BME, Dr. Al-Radhi specializes in accurately designing high-quality vocoding mechanisms, utilizing advanced signal processing techniques for speech synthesis and voice conversion applications. In education, he provides scholarly guidance to PhD, MSc, BSc students, directs their theses and projects, and imparts knowledge in courses covering deep learning, info-communication, human-computer interaction, and smart city laboratory. Dr. Al-Radhi is an esteemed reviewer for distinguished top-tier journals and conferences. His leadership role as a special issue editor for the prestigious Journal of Electronics reflects his elevated standing in the academic community. Recognized for his solid commitment to scholarly excellence, Dr. Al-Radhi has received honours, including a PhD dissertation defense with the highest distinction and a prestigious M.Sc. award. His impactful publications span diverse domains, featuring seminal research on nonparallel expressive TTS, child-based speech, and pioneering advancements in voice cloning and conversational AI.

News

• accepting new PhD students interested in AI. Explore available topics in doktori platform and reach out via email if interested!
• leading a Special Issue entitled New Insights and Techniques for Neural Networks. It focuses on the modern machine learning techniques to natural process modeling and related decision-making. The submission deadline is 15 November 2023.

Academic Employment

• Oct 2020 - present
  • Postdoctoral fellow scientist, BME-VIK-TMIT, Budapest, Hungary

Research Interests

My research focuses on applying advanced artificial intelligence and machine deep learning to push the boundaries of speech and language processing. Currently, my focus includes developing expressive speech synthesis, cutting-edge Text-to-Speech systems, innovative voice cloning methods, and exploring conversational AI. Additionally, I delve into Explainable AI (XAI), contribute to the fake voice detection and enhancing voice authenticity verification.

Education

• Sep 2016 - Sep 2020
  • Ph.D. (100%, hons, summa cum laude) in Artificial Intelligence of Speech from faculty of Electrical Engineering and Informatyics at Budapest University of Technology and Economics, Budapest, Hungary.
  • Dissertation title: High-quality vocoding design with signal processing for speech synthesis and voice conversion.
  • My dissertation aimed at developing a vocoder and its role in machine deep learning.
  • Supervised by Prof. Habil. Géza Németh and Dr. Tamás Gábor Csapó.
  • Some photos: [1], [2], [3], [4].
• Sep 2011 - Nov 2012
  • M.Sc. (1^st class, hons) in Communication Systems Engineering from school of Energy and Electronic Engineering at Portsmouth University, UK.
  • Dissertation title: Design of Finite Impulse Response Digital Filters using Optimal Methods.
  • Supervised by Dr. Branislav Vuksanovic.
  • My dissertation aimed at designeing a full GUI digital filters depending on the specifications defined by the user.
  • Interesting to see Prof. Hideki Kawahara in 2017 used various time windowing functions in his paper related to speech processing.
  • Some photos: TODO.
• Sep 2003 - Oct 2007
  • B.Sc. (hons) in Computer Engineering from college of Engineering at Basra University, Iraq.

Professional Activity

• MTA: 2023 - present
  • Member of the Hungarian Academy of Sciences
• IEEE: 2017 - present
  • Member of the Institution of Electrical and Electronic Engineering, Signal Processing Society
• ISCA: 2017 - present
  • Member of the International Speech Communication Association
• IEICE: 2019 – 2021
  • Member of the Institute of Electronics, Information and Communication Engineers, Japan
• IET: 2012 – 2016
  • Member of the Institution of Engineering and Technology, England

Honors/Awards

• 2020: PhD dissertation defense awarded 100% (Honours & Summa cum laude)
• 2016: PhD scholarship, Budapest University of Technology and Economics, Hungary
• 2014: 1st prize, Rumaila golden winner, for Respect – Determination - Personal Ownership - One team, Rumaila operating organization, Iraq
• 2013: 1st prize, MSc Top Student Certificate – MSc Communication Systems Engineering, University of Portsmouth, UK
• 2011: MSc scholarship, University of Portsmouth, UK
• 2007: Excellence in research – BSc dissertation, University of Basra, Iraq

Reviewer & Programme Committee

• Journals
  • Computer Speech and Language
  • Speech Communication
  • Signal Processing
  • Digital Signal Processing
  • Artificial Intelligence Review
  • IEEE Access
  • HTE Infocommunication
  • more ...
• Conferences
  • ISCA Interspeech
  • ISCA Speech Synthesis Workshop (SSW)
  • IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
  • IEEE Spoken Language Technology Workshop (SLT)
  • IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)
  • more ...
• Editorial Board
  • Leading special issue editors for the journal of Electronics
• For a full list of verified reviews, please refer to Web of Science ResearcherID: C-9727-2018




---

Full Publications

• 2024
1. Shaimaa Alwaisi, Mohammed Salah Al-Radhi, Géza Németh, Multi-Speaker Child Speech Synthesis in Low-Resource Hungarian Language, 2nd Workshop on Intelligent Infocommunication Networks, Systems and Services (WINS), Budapest, Hungary, 2024.

   [paper]    [slides]

2. Shukhrat Kulboboev, Mohammed Salah Al-Radhi, Improving Speech Naturalness and Nuance using HiFiGAN-Hubert-Soft Vocoder: A Case Study of the Voicebox TTS Model, 2nd Workshop on Intelligent Infocommunication Networks, Systems and Services (WINS), Budapest, Hungary, 2024.

   [paper]    [slides]

• 2023
1. Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh, Non-Parallel Voice Conversion with Emphasis on Expressive Voice: A Style-Based Approach, Socially responsible–Applied Linguistics Conference, p. 19, Budapest, Hungary, 2023.

   [proceedings]    [certificate]

2. Peter Mayer, Katharina Werner, Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Bálint Czeba, Géza Németh, Ana Patrícia Rocha, Ilídio C. Oliveira, Samuel Silva, Melinda Szeker, António Teixeira, Paul Panek, Concept and Pictogram-Based User-Interface Design of a Helper Tool for People with Aphasia, 17th Annual Conference on Health Informatics meets Digital Health (dHealth), vol 301, pp. 77-82, Vienna, Austria, 2023.

   [paper]    [project]

3. Shaimaa Alwaisi, Mohammed Salah Al-Radhi, Géza Németh, Universal Approach to Multilingual Multispeaker Child Speech Synthesis, 12th ISCA Speech Synthesis Workshop (SSW), pp. 236-237, Grenoble, France, 2023.

   [paper]    [poster]

4. Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh, Nonparallel Expressive TTS for Unseen Target Speaker using Style-Controlled Adaptive Layer and Optimized Pitch Embedding, 12th International Conference on Speech Technology and Human-Computer Dialogue (SpeD), pp. 176-181, Bucharest, Romania, 2023.

   [paper]    [slides]    [demo]

5. Ali Raheem Mandeel, Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Modeling Irregular Voice in End-to-End Speech Synthesis via Speaker Adaptation, 12th International Conference on Speech Technology and Human-Computer Dialogue (SpeD), pp. 170-175, Bucharest, Romania, 2023.

   [paper]    [demo]

6. Shaimaa Alwaisi, Mohammed Salah Al-Radhi, Géza Németh, Automated Child Voice Generation: Methodology and Implementation, 12th International Conference on Speech Technology and Human-Computer Dialogue (SpeD), pp. 48-53, Bucharest, Romania, 2023.

   [paper]    [demo]

7. Ali Raheem Mandeel, Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Enhancing End-to-End Speech Synthesis by Modeling Interrogative Sentences with Speaker Adaptation, 12th International Conference on Speech Technology and Human-Computer Dialogue (SpeD), pp. 158-163, Bucharest, Romania, 2023.

   [paper]    [demo]

8. Mohammed Salah Al-Radhi, Omnia Ibrahim, Ali Raheem Mandeel, Tamás Gábor Csapó, Géza Németh, Advancing Limited Data Text-to-Speech Synthesis: Non-Autoregressive Transformer for High-Quality Parallel Synthesis, 12th International Conference on Speech Technology and Human-Computer Dialogue (SpeD), pp. 152-157, Bucharest, Romania, 2023.

   [paper]    [slides]    [demo]

9. Layan Swalha, Mohammed Salah Al-Radhi, Improving Naturalness of Neural-based TTS System Trained with Limited Data, 1st Workshop on Intelligent Infocommunication Networks, Systems and Services (WINS), pp. 71-75, Budapest, Hungary, 2023.

   [paper]    [poster]

10. Ali Raheem Mandeel, Ammar Abdullah Aggar, Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Implementing a Text-to-Speech synthesis model on a Raspberry Pi for Industrial Applications, 1st Workshop on Intelligent Infocommunication Networks, Systems and Services (WINS), pp. 77-81, Budapest, Hungary, 2023.

    [paper]    [poster]

11. Ali Raheem Mandeel, Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Investigations on speaker adaptation using a continuous vocoder within recurrent neural network based textto-speech synthesis, Multimedia Tools and Applications, 82, pp. 15635–15649, 2023.

    [paper]

12. Ali Raheem Mandeel, Ammar Abdullah Aggar, Mohammed Salah Al-Radhi, Tamás Gábor Csapó, A Smart Control System for the Oil Industry Using Text-to-Speech Synthesis Based on IIoT, Electronics, 12(16):3380, 2023.

    [paper]

13. Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh, Improving the expressiveness of TTS synthesis with non-autoregressive neural vocoding, Beszédkutatás–Speech Research, pp. 94-96, Budapest, Hungary, 2023.

    [proceedings]    [poster]

14. Ali Raheem Mandeel, Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Creaky Voice via Speaker Adaptation within End-to-End Text to Speech Synthesis, Beszédkutatás–Speech Research, pp. 78-80, Budapest, Hungary, 2023.

    [proceedings]    [slides]

15. Layan Sawalha, Mohammed Salah Al-Radhi, Few-Shot Multi-Language Text-to-Speech Synthesis with State-of-the-Art Neural Networks, Beszédkutatás–Speech Research, pp. 97-99, Budapest, Hungary, 2023.

    [proceedings]

• 2022
1. Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Csaba Zainkó, Géza Németh, Towards Parametric Speech Synthesis Using Gaussian-Markov Model of Spectral Envelope and Wavelet-Based Decomposition of F0, 30th European Signal Processing International Conference (EUSIPCO), Belgrade, Serbia, pp. 1150–1154, 2022.

   [paper]    [slides]    [demo]

2. Ali Raheem Mandeel, Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Speaker Adaptation Experiments with Limited Data for End-to-End Text-To-Speech Synthesis using Tacotron2, Infocommunications Journal, XIV, 3, pp. 55–62, 2022.

   [paper]    [demo]

3. Ismaeil R. Alnaab, Harwan M. Taha, Zainab A. Abdulwahab, Mohammed Salah Al-Radhi, Performance comparison between fixed tilt angle and solar tracking systems at Basra governorate: A case study, Indonesian Journal of Electrical Engineering and Computer Science, 26(1):184–193, 2022.

   [paper]

4. Safa Jameel Al-Kamil, Mohammed Salah Al-Radhi, Deep Learning for Self-Driving Vehicles, 2nd International Multi-Disciplinary Conference Theme: Integrated Sciences and Technologies (IMDC-IST), Sakarya, Turkey, 2022.

   [paper]

• 2021
1. Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Csaba Zainkó, Géza Németh, Continuous Wavelet Vocoder-Based Decomposition of Parametric Speech Waveform Synthesis, in Proceedings of Interspeech Conference, Brno, Czechia, pp. 2212-2216, 2021.

   [paper]    [slides]    [demo]

2. Pengyu Dai, Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Effects of F0 Estimation Algorithms on Ultrasound-Based Silent Speech Interfaces, 11th International Conference on Speech Technology and Human-Computer Dialogue (SpeD), Bucharest, Romania, pp. 47-51, 2021.

   [paper]    [slides]

3. Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh, Noise and acoustic modeling with waveform generator in text-to-speech and neutral speech conversion, Multimedia Tools and Applications, 80, 1969–1994, 2021.

   [paper]

4. Ali Raheem Mandeel, Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Speaker Adaptation with Continuous Vocoder-Based DNN-TTS, 23th International Conference on Speech and Computer (SPECOM). Lecture Notes in Computer Science, 12997, pp. 407–416, 2021.

   [paper]

5. Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh, Effects of Sinusoidal Model on Non-Parallel Voice Conversion with Adversarial Learning, Applied Sciences, 11, 7489, pp. 1–16, 2021.

   [paper]    [demo]

6. Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh, Advances in speech vocoding for text-to-speech with continuous parameters, 2nd International Conference on Artificial Intelligence and Speech Technology (AIST), Delhi, India, 2021.

   [chapter]

• 2020
1. Mohammed Salah Al-Radhi, High-Quality Vocoding Design with Signal Processing for Speech Synthesis and Voice Conversion, PhD Dissertation, Budapest University of Technology and Economics, Faculty of Electrical Engineering and Informatyics, 2020.

   [thesis]

2. Mohammed Salah Al-Radhi, Omnia Abdo, Tamás Gábor Csapó, Sherif Abdou, Géza Németh, Mervat Fashal, A continuous vocoder for statistical parametric speech synthesis and its evaluation using an audio-visual phonetically annotated Arabic corpus, Computer Speech and Language, Volume 60, pp. 1-15, 2020.

   [paper]

3. Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh, Continuous Noise Masking Based Vocoder for Statistical Parametric Speech Synthesis, IEICE Transactions on Information and Systems, E103.D, Issue 5, pp. 1099–1107, 2020.

   [paper]    [demo]

4. Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh, conTTS: Text-toSpeech Application using a Continuous Vocoder, 12th International Seminar on Speech Production (ISSP), pp. 170-173, New Haven CT, USA, 2020.

   [proceedings]    [demo]

5. Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh, Non-Parallel Voice Conversion Incorporating Sinusoidal Model with Adversarial Learning, Beszédkutatás–Speech Research, pp. 77-79, 2020.

   [paper]

• 2019
1. Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh, Continuous vocoder applied in deep neural network based voice conversion, Multimedia Tools and Applications, 78, pp. 33549–33572, 2019.

   [paper]    [demo]

2. Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh, Parallel Voice Conversion Based on a Continuous Sinusoidal Model, 10th International Conference on Speech Technology and Human-Computer Dialogue (SpeD), Timisoara, Romania, pp. 1-6, 2019.

   [paper]    [slides]    [demo]

3. Tamás Gábor Csapó, Mohammed Salah Al-Radhi, Géza Németh, Gábor Gosztolya, Tamás Grósz, László Tóth, Alexandra Markó, Ultrasound-Based Silent Speech Interface Built on a Continuous Vocoder, in Proceedings of Interspeech Conference, Graz, Austria, pp. 894-898, 2019.

   [paper]    [demo]

4. Waleed I., Baha Sawadi, Safa Al-Kamil,Mohammed Salah Al-Radhi, Yasir Al-Yasir, Ameer Saleh, Raed Abd-Alhameed, Prediction of Solar Irradiance Based on Artificial Neural Networks, Inventions, 4(3), 45, pp. 1-10, 2019.

   [paper]

5. Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh, Adaptive Refinements of Pitch Tracking and HNR Estimation within a Vocoder for Statistical Parametric Speech Synthesis, Applied Sciences, 9 (12), 2460, pp. 1–23, 2019.

   [paper]    [demo]

6. Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh, RNN-based speech synthesis using a continuous sinusoidal model, International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, pp. 1-8, 2019.

   [paper]    [slides]    [demo]

7. Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh, High quality continuous vocoder in deep recurrent neural network based speech synthesis, in Eastern European Machine Learning, Google DeepMind, Bucharest, Romania, 2019.

   [poster]

• 2018
1. Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh, A Continuous Vocoder using Sinusoidal Model for Statistical Parametric Speech Synthesis, 20th International Conference on Speech and Computer (SPECOM), Lecture Notes in Computer Science, Leipzig, Germany, pp. 11–20, 2018.

   [paper]    [slides]    [demo]

2. Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh, Improving continuous F0 estimator with adaptive time-warping for high-quality speech synthesis, in Beszédkutatás (conference of the speech reseacrch), Budapest, Hungary, pp. 77-79, 2018.

   [proceedings]

• 2017
1. 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 proceedings of Interspeech, Stockholm, Sweden, pp. 434-438, 2017.

   [paper]    [slides]    [demo]

2. Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh, Continuous vocoder in feed-forward deep neural network based speech synthesis, International conference of digital speech and image processing, Novi Sad, Serbia, pp. 1-4, 2017.

   [paper]    [slides]    [demo]

3. Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh, Effects of adding a Harmonic-to-Noise Ratio parameter to a continuous vocoder, in Proceedings of the 6th of the UK Speech, Cambridge University, England, 2017.

   [poster]

4. Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh, Deep Recurrent Neural Networks in Speech Synthesis Using a Continuous Vocoder, 19th International Conference on Speech and Computer (SPECOM). Lecture Notes in Computer Science, Hatfield, UK, pp. 282–291, 2017.

   [paper]    [poster]

5. Mohammed Salah Al-Radhi, High quality continuous residual-based vocoder for statistical parametric speech synthesis, 3rd Doctoral Consortium, International Speech Communication Association (ISCA-SAC), Interspeech, KTH Royal Institute of Technology, Stockholm, Sweden, 2017.

   [paper]

• 2012
1. Mohammed Salah Al-Radhi, Design of Finite Impulse Response Digital Filters using Optimal Methods, MSc Dissertation, Portsmouth University, School of Energy and Electronic Engineering, Portsmouth, England, 2012.

   [thesis]

2. Mohammed Salah Al-Radhi, Performance of Convolutional coding with Hard decision Viterbi decoding on BPSK Systems over Noisy Channels, Student Symposium, Portsmouth University, School of Engineering, Portsmouth, England, 2012.

   [paper]





---

Last updated: Thursday, 18^th January 2024 (ISO 8601)
All counters 100%



---