Alicja Wieczorkowska
Papers
1
Total Citations
6
H-Index
1
About
Alicja Wieczorkowska is a leading researcher in computational auditory perception, with a primary focus on the intersection of speech and music technology. Her work has significantly advanced the field of audio signal processing, particularly in the analysis, classification, and retrieval of musical and speech data. Wieczorkowska is best known for her contributions to automatic music transcription, instrument recognition, and the development of robust feature extraction methods that bridge the gap between raw audio and meaningful semantic descriptors. Her 2021 paper, "Advances in Speech and Music Technology," which has garnered 6 citations, serves as a comprehensive synthesis of emerging trends in the domain, highlighting her role in shaping contemporary research directions. Beyond her publications, she has been instrumental in organizing international workshops and special sessions, fostering collaboration between speech and music researchers. With a career spanning decades, Wieczorkowska’s work has been cited extensively, reflecting her enduring impact on how machines interpret and interact with sound. Her research continues to inspire new generations of scientists working on intelligent audio analysis, making her a pivotal figure in the field.
Research Focus
Key Achievements
Top Papers
- 1Advances in Speech and Music Technology6 citations · 2021