On April 28 (Monday), 2025, at the Faculty of Electrical Engineering and Information Technologies, a lecture will be held by Prof. Andreas Spanias from Arizona State University, USA, on the topic “Transform Domain Coders for Audio and Speech – Classical and Quantum Implementations.” Professor Spanias from Arizona State University, USA, is on a Fulbright research visit at FEEIT this semester.
The lecture will take place at INNOFEIT at 15:00 h.
The lecture is organized by FEEIT and the Macedonian section of IEEE through its chapters: the Joint chapter for Signal Processing and Engineering in Medicine and Biology (SP/EMB), the Joint chapter for Electronic Components, Instrumentation and Measurement, Semiconductor Circuits (ED/IM/SSC), the joint chapter for Industrial Electronics/Industrial Applications/Power Electronics (IE013/IA034/PEL035), as well as the IEEE Life Members affinity group (LM80077).
More information about the lecture:
Title: Transform Coders for Speech and Audio Signals – Classical and Quantum Realizations, A Fulbright US Scholar Research Experience Seminar
Speaker: Andreas Spanias, Professor and Center Director, Fellow IEEE, Fulbright Research Scholar
School of Electrical, Computer and Energy Engineering Director SenSIP Center and Industry Consortium
Arizona State University, Main Campus, Tempe AZ, USA
Abstract: Signal analysis-synthesis and compression using transform models is a powerful technique for low bit-rate speech and audio signal representation. The basic ideas go back to the 1970s with more sophisticated models proposed later in the 1980s and speech transform-based compression standards established in the 1990s. These signal representation models rely on mean square minimization and peak picking and utilize spectral envelopes and phase models to reduce bit rates in speech coding applications. Later on sinusoidal models for speech that are based on harmonic structures were presented and in the 2000s we have selection of sinusoids based on psychoacoustics. More recently in 2023 at Arizona State, we developed transform models for speech analysis-synthesis based on the quantum Fourier transform (QFT). These QFT-based signal analysis-synthesis models were simulated in IBM Qiskit and compared with classical computing implementations. In the seminar, we will discuss these models and present both classical and QFT-based representations and comparative results. The effects of quantum noise on signal reconstruction will also be described. The seminar will close with a brief presentation of various other research projects and activities at the ASU SenSIP center in an effort to determine areas for collaboration.
Biography: Andreas Spanias is Professor in the School of Electrical, Computer, and Energy Engineering at Arizona State University (ASU). He is also the director of the Sensor Signal and Information Processing (SenSIP) center and the founder of the SenSIP industry consortium (also an NSF I/UCRC site). His research interests are in the areas of adaptive signal processing, speech processing, quantum machine learning and sensor systems. He and his students developed the award winning software J-DSP which was sponsored by NSF. Dr. Spanias is author of two textbooks: Audio Processing and Coding by Wiley and DSP; An Interactive Approach (2nd Ed.). He contributed to more than 350 papers, 11 monographs, and 26 US patents. He served as Associate Editor of the IEEE Transactions on Signal Processing and as General Co-chair of IEEE ICASSP-99. He also served as the IEEE Signal Processing Vice-President for Conferences. Andreas Spanias is co-recipient of the 2002 IEEE Donald G. Fink paper prize award and was elected Fellow of the IEEE in 2003. He served as Distinguished Lecturer for the IEEE Signal processing society. He is currently heading four NSF workforce development projects as a PI. He received the 2018 IEEE Phoenix Chapter award with citation: “For significant innovations and patents in signal processing for sensor systems.” He also received the 2018 IEEE Region 6 Outstanding Educator Award (across 12 states) with citation: “For outstanding research and education contributions in signal processing.” He is a Senior Member of the National Academy of Inventors (NAI). He was recently selected for a Fulbright Research Scholar award with residence at the Ss. Cyril and Methodius University and regional activities in other countries in the Balkans.
