Szczegóły publikacji
Opis bibliograficzny
Multichannel fusion and audio-based features for acoustic event classification / Daniel Krause, Konrad KOWALCZYK // W: AES 2018 [Dokument elektroniczny] : 145th Audio Engineering Society international convention : October 17–20, New York, USA. — Wersja do Windows. — Dane tekstowe. — [USA : AES], [2018]. — S. 1–8. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://secure.aes.org/forum/pubs/conventions/?elib=19829 [2019-02-13]. — Bibliogr. s. 6–8, Abstr. — Tekst dostępny po zalogowaniu
Autorzy (2)
Dane bibliometryczne
| ID BaDAP | 120178 |
|---|---|
| Data dodania do BaDAP | 2019-03-06 |
| Rok publikacji | 2018 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | 145th Audio Engineering Society international convention |
Abstract
Acoustic event classification is of interest for various audio applications. The aim of this paper is to investigate the usage of a number of speech and audio based features in the task of acoustic event classification. Several features that originate from audio signal analysis are compared with features typically used in speech processing such as mel-frequency cepstral coefficients (MFCCs). In addition, the approaches to fuse the information obtained from multichannel recordings of an acoustic event are investigated. Experiments are performed using a Gaussian mixture model (GMM) classifier and audio signals recorded using several scattered microphones.
