In this paper, intelligent audio signal processing examples are shortly described. The focus is, however, on the machine learning approach and datasets needed, especially for deep learning models. Years of intense research produced many important results in this area; however, the goal of fully intelligent signal processing, characterized by its autonomous acting, is not yet achieved. Therefore, a review of state-of-the-art concerning this area is given. The aspect of showing the importance of acquiring an appropriate dataset containing audio samples dedicated to the task is also shown. The paper starts with samples of audio-related datasets resulting from the search engine inquiry. Then, examples of research studies along with results are given. Also, several works carried out by the author and her collaborators are presented. Some thoughts on future work are included with answering a question of whether annotated datasets are still needed.
Authors
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1007/978-3-031-21967-2_55
- Category
- Aktywność konferencyjna
- Type
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language
- angielski
- Publication year
- 2022
