Intelligent Audio Signal Processing − Do We Still Need Annotated Datasets? - Publikacja - MOST Wiedzy

Wyszukiwarka

Intelligent Audio Signal Processing − Do We Still Need Annotated Datasets?

Abstrakt

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.

Cytowania

  • 0

    CrossRef

  • 0

    Web of Science

  • 0

    Scopus

Cytuj jako

Pełna treść

pobierz publikację
pobrano 65 razy
Wersja publikacji
Accepted albo Published Version
Licencja
Copyright (2022 The Author(s), under exclusive license to Springer Nature Switzerland AG)

Słowa kluczowe

Informacje szczegółowe

Kategoria:
Aktywność konferencyjna
Typ:
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Język:
angielski
Rok wydania:
2022
Opis bibliograficzny:
Kostek B.: Intelligent Audio Signal Processing − Do We Still Need Annotated Datasets?// / : , 2022,
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1007/978-3-031-21967-2_55
Weryfikacja:
Politechnika Gdańska

wyświetlono 88 razy

Publikacje, które mogą cię zainteresować

Meta Tagi