Dr Christos Chousidis
About
Biography
Christos Chousidis received his MPhil in 2006 and his PhD in 2013, both from Brunel University London. He is a member of IEEE and Audio Engineering Society (AES). Christos is also a member of the Technical Committees on Network Audio Systems (TC-NAS) and Machine Learning and Artificial Intelligence (TC-MLAI) within the AES. He is also a founding member of the UKAN's special Interest Group on Biomedical Acoustics.
ResearchResearch interests
Christo's research focuses on Biomedical Acoustics and Wireless Audio Networks.
Research interests
Christo's research focuses on Biomedical Acoustics and Wireless Audio Networks.
Supervision
Postgraduate research supervision
An efficient phonation-driven control system using laryngeal bioimpedance and machine learning.
The extraction and conversion of human voice information are crucial in several applications across multiple subject areas such as medicine, music technology and human-computer interaction. The presented research employs the variation of laryngeal bioimpedance, measured during phonation, for extracting and processing voice information. Compared to sound recordings and microphones, bioimpedance readings deliver a much simpler signal, allowing fast and computationally non-taxing processing. In the first stage of this research, a novel system for measuring laryngeal bioimpedance was designed and built. The circuit design was implemented with a multiplexed sensor system based on multiple electrode pairs to allow self-calibration of the sensors and increase usability and applicability. In the following stage, the resulting device was used to generate a novel dataset of laryngeal bioimpedance measurements for the distinction of speech and singing. This was then used in the training and deployment of an Artificial Neural Network using the Mel Frequency Cepstrum Coefficients of the recorded bioimpedance measurements. A real-time system for converting voice into digital control messages was developed and presented as the third stage of this research. The system was implemented using the MIDI protocol for using voice to control hardware and software electronic instruments. The thesis then concludes with the integration of the complete system. The conducted research results in a self-calibrating device for the measurement of laryngeal bioimpedance which delivers an efficient and efficacious real-time voice-to-MIDI conversion. In addition, the creation of a unique dataset for the distinction of singing and speech allowed the deployment of real-time classification system. Collectively, the proposed system improves applicability and usability of laryngeal bioimpedance and expands the existing knowledge in the distinction of speech and singing.
Publications
Additional publications
Donati, Eugenio, and Christos Chousidis. "Electroglottography based real-time voice-to-MIDI controller." Neuroscience Informatics 2, no. 2 (2022): 100041.
Ramirez, Arturo Esquivel, Eugenio Donati, and Christos Chousidis. "A siren identification system using deep learning to aid hearing-impaired people." Engineering Applications of Artificial Intelligence 114 (2022): 105000.
Chousidis, Christos, Ioana Pisca, and Zhengwen Huang. "A modified IEEE 802.11 MAC for optimizing broadcasting in wireless audio networks." Journal of Network and Systems Management 28 (2020): 58-80.
Chousidis, Christos. "Enhancement of IEEE 802.11 in handling multiple broadcasting audio data in wireless ad-hoc networks." AES: Journal of the Audio Engineering Society 61, no. 4 (2013): 165-173.
Huang, Zhengwen, Maozhen Li, Christos Chousidis, Alireza Mousavi, and Changjun Jiang. "Schema theory-based data engineering in gene expression programming for big data analytics." IEEE Transactions on Evolutionary Computation 22, no. 5 (2017): 792-804.
Chousidis, Christos, Rajagopal Nilavalan, and Laurentiu Lipan. "Expanding the use of CTS-to-self mechanism for reliable broadcasting on IEEE 802.11 networks." In 2014 International Wireless Communications and Mobile Computing Conference (IWCMC), pp. 1051-1056. IEEE, 2014.
Tomaszewska, Julia Zofia, Christos Chousidis, and Eugenio Donati. "Sound-Based Cough Detection System using Convolutional Neural Network." In 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA), pp. 1-6. IEEE, 2022.
Pisica, Ioana, Gareth Taylor, Christos Chousidis, Dimosthenis Trichakis, Leonard Tomescu, and Lipan Laurentiu. "Design and implementation of a prototype home energy management system." In 2013 48th International Universities' Power Engineering Conference (UPEC), pp. 1-6. IEEE, 2013.
Calabrese, Samuele, Eugenio Donati, and Christos Chousidis. "Prediction of hearing loss through application of Deep Neural Network." In Audio Engineering Society Convention 148. Audio Engineering Society, 2020.
Kehrakos, Kostas, Christos Chousidis, and Spyros Kouzoupis. "A Reliable Singing Voice-Driven MIDI Controller Using Electroglottographic Signal." In Audio Engineering Society Convention 140. Audio Engineering Society, 2016.
Trichakis, Dimosthenis, Christos Chousidis, Iraklis Rigakis, and Emmanouel Antonidakis. "Power line network automation over IP." In 2012 International Conference on Telecommunications and Multimedia (TEMU), pp. 239-244. IEEE, 2012.
Chousidis Christos, and Rajagopal Nilavalan. "Improving multiple broadcasting of multimedia data traffic in wireless ad-hoc networks." In 2013 Science and Information Conference, pp. 822-828. IEEE, 2013.
Donati, Eugenio, and Christos Chousidis. "Electroglottography based voice-to-MIDI real time converter with AI voice act classification." In 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA), pp. 1-6. IEEE, 2022.
Chousidis Christos, Iraklis Rigakis, Marios Hadjinicolaou, and Emanuel Antonidakis. "A MIDI to DMX512 Interfacing Protocol Implemented using Microcontroller." International Journal of Electronic Engineering Research 2, no. 5 (2010): 713-724.
Chousidis Christos, and Rajagopal Nilavalan. "Improving multiple broadcasting of multimedia traffic in wireless ad-hoc networks." (2013).
Ciarla, Filippo, Eugenio Donati, and Christos Chousidis. "Comparing speech identification under degraded acoustic conditions between native and non-native English speakers." In Audio Engineering Society Convention 148. Audio Engineering Society, 2020.
Pisica, Ioana, Christos Chousidis, Gareth Taylor, Leonard Tomescu, and David Wallom. "Novel information model of smart consumers for real-time home energy management." In IEEE PES ISGT Europe 2013, pp. 1-5. IEEE, 2013.