Bozena Kostek

Full Prof., Ph.D., D.Sc., Eng., Head of the Audio Acoustics Laboratory

University of Gdańsk

Poland

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About

Bozena Kostek is a Full Professor, Ph.D., D.Sc., Eng., and Head of the Audio Acoustics Laboratory at Gdańsk University of Technology in Poland. Her research areas encompass automatic medical dictation, emotion analysis in music and films, machine learning applications for depression detection, and advancements in audio signal processing. Her recent publications highlight her work on neural networks for musical instrument identification and the evaluation of hearing prostheses using fuzzy logic.

Articles (18)

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2025

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2025

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2021

Collaborators (3)

Bartłomiej Mróz

Assistant professor

University of Gdańsk

POLAND

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Piotr Odya

University of Gdańsk

POLAND

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Beata Graff

Medical University of Gdansk

POLAND

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Bozena Kostek

Research Interests

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About

Articles (18)

A Comprehensive Polish Medical Speech Dataset for Enhancing Automatic Medical Dictation

A Bimodal Deep Model to Capture Emotions from Music Tracks

Depression Analysis and Detection Using Machine Learning: Incorporating Gender Differences in a Comparative Study

Sounding Mechanism of a Flue Organ Pipe—A Multi-Sensor Measurement Approach

Bimodal deep learning model for subjectively enhanced emotion classification in films

Exploring Neural Networks for Musical Instrument Identification in Polyphonic Audio

Automatic music signal mixing system based on one-dimensional Wave-U-Net autoencoders

Predicting Emotion From Color Present in Images and Video Excerpts by Machine Learning

Applying the Lombard Effect to Speech-in-Noise Communication

Combining MUSHRA Test and Fuzzy Logic in the Evaluation of Benefits of Using Hearing Prostheses

Creating a Remote Choir Performance Recording Based on an Ambisonic Approach

Detecting Lombard Speech Using Deep Learning Approach

Noise profiling for speech enhancement employing machine learning models

Musical Instrument Identification Using Deep Learning Approach

Mining Knowledge of Respiratory Rate Quantification and Abnormal Pattern Prediction

Acoustic Sensing Analytics Applied to Speech in Reverberation Conditions

Classifying Emotions in Film Music—A Deep Learning Approach

Reinforcement Learning Algorithm and FDTD-Based Simulation Applied to Schroeder Diffuser Design Optimization

Collaborators (3)

Bartłomiej Mróz

Piotr Odya

Beata Graff

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