Year 2024

• Exploring music listening patterns: an online survey

  Publication

  • B. Szyca
  • B. Wejda
  • M. Muchewicz
  • B. Kostek

  - International Journal of Electronics and Telecommunications - Year 2024

  An online survey was carried out to explore how respondents listen to music recordings. It was anticipated that the listener’s preferences would be influenced by various factors, such as age, music genre, the contexts in which they listen, and their favored methods of music consumption. Consequently, the data were collected to analyze these relationships. The survey, structured as a web application, encompassed 23 questions,...

  Full text available to download

Year 2023

• SYNTHESIZING MEDICAL TERMS – QUALITY AND NATURALNESS OF THE DEEP TEXT-TO-SPEECH ALGORITHM

  Publication

  • B. Kostek
  • B. Szyca

  - Journal of the Acoustical Society of America - Year 2023

  The main purpose of this study is to develop a deep text-to-speech (TTS) algorithm designated for an embedded system device. First, a critical literature review of state-of-the-art speech synthesis deep models is provided. The algorithm implementation covers both hardware and algorithmic solutions. The algorithm is designed for use with the Raspberry Pi 4 board. 80 synthesized sentences were prepared based on medical and everyday...

  Full text available to download